7 Things I Read This Week (and Why They Matter)

This was one of those weeks where everything I read seemed to converge on the same theme: the ground is shifting faster than most of us realize. AI isn’t coming for our workflows someday – it’s already reshaping how products get discovered, how code gets written, and whether your product-market fit survives the next 12 months.

Here’s what caught my attention.

1. Product Market Fit Collapse: Why Your Company Could Be Next

Reforge Blog

If you’re in SaaS, this is the chart that should scare you. Reforge makes the case that PMF isn’t a destination – it’s a treadmill. And AI just cranked the speed to max. Chegg lost 87.5% of its valuation. Stack Overflow’s traffic cratered. The pattern is the same: AI proves value for a use case, and the incumbent’s window to adapt slams shut before they even recognize the threat.

This one hit me personally. SermonCentral has been the go-to sermon library for over two decades. BUT the question I keep coming back to is: what happens when pastors can generate sermon outlines with AI in seconds? The PMF threshold doesn’t care about your legacy. It only cares about whether you’re still the best answer to the customer’s problem RIGHT NOW.

2. What AI Sees When It Visits Your Website (And How To Fix It)

Google Share

This reframed how I think about our SEO strategy entirely. AI answer engines – ChatGPT, Google AI Overviews, Perplexity – are visiting your site, interpreting your content, and shaping customer perception BEFORE a human ever clicks. Traditional SEO isn’t enough anymore. You need AEO – AI Engine Optimization.

For SermonCentral, this is urgent. We live and die by organic discovery. If AI systems can’t parse our content well, we lose visibility in the exact channels that are replacing traditional search. I’m bringing this to the team this week.

3. Claude Code Remote Control

Claude Code Docs

This is the kind of workflow upgrade that sounds small but changes everything. Claude Code now lets you continue local dev sessions from your phone, tablet, or any browser. Your full local environment stays intact – filesystem, MCP servers, all of it. Sessions reconnect automatically after network drops or laptop sleep.

I’ve been using Claude Code as my daily driver for months now. Being able to kick off a task at my desk and check progress from my phone during a walk? That’s the kind of automation leverage I’m optimizing for in 2026.

4. Claude Code for Web – Async Coding Agent

Simon Willison

Anthropic launched an async coding agent at claude.ai/code. Point it at a GitHub repo, give it a task, and it creates branches and PRs with the work output. It runs in a container, skips permission gates, and the PRs are indistinguishable from CLI-generated ones.

The coding agent space is getting crowded fast – OpenAI Codex Cloud, Google Jules, now this. What I appreciate about this one is the “teleport” feature that lets you copy the transcript and files to your local CLI. It’s not replacing the local workflow, it’s extending it. That’s the right design philosophy.

5. How to Build a PM GitHub That Gets You Hired

Aakash’s Newsletter

Only 24% of PM candidates have GitHub profiles. That stat alone should tell you something. Hiring managers at Google, OpenAI, Anthropic, and Meta actively check GitHub when it’s linked. A strong profile signals you actually build things and understand engineer workflows – not just strategize from a slide deck.

I’ve been saying this for a while: the best PMs ship. They don’t just write specs. If you’re a PM reading this and you don’t have a GitHub presence, this is your sign. Start small. Ship something. The differentiation is massive because almost nobody does it.

6. Visual Explainer – Agent Skill for Rich HTML Output

GitHub

This is a neat agent skill that converts complex terminal output into styled, interactive HTML pages. Think: architecture diagrams, code diff reviews, project plan audits, data tables – all rendered as shareable HTML without manual formatting.

I’m always looking for ways to make technical work more visible to non-technical stakeholders. Being able to generate a polished visual recap of a sprint or a system change and just send the HTML? That’s a communication multiplier.

7. Anthropic Courses on Skilljar

Anthropic Courses

Anthropic now has 14+ structured courses covering Claude API, Model Context Protocol, and AI fluency for developers, educators, students, and nonprofits. This tells me they’re investing heavily in ecosystem education – and that MCP is becoming a first-class skill.

I’ve been building MCP integrations into my daily workflow for months. Seeing Anthropic formalize the training around it validates the bet. If you’re building on Claude and haven’t gone through these, it’s worth the time.

The Thread That Ties It All Together

Every link this week points to the same reality: the cost of standing still just went up. PMF is collapsing faster. AI is reshaping discovery. Coding agents are shipping real code. The PMs who build things are getting hired. The tools are getting better every week.

The question isn’t whether to adapt. It’s whether you’re adapting fast enough.

I aim to be on the right side of that question. Hopefully some of these links help you get there too.

Product design fundamentals every product manager should know

I’ve been building products for nearly three decades and one of the things I wish someone had told me early on is this: you don’t need to be a designer, but you need to understand design well enough to have an opinion.

A “this flow is going to confuse people and here’s why” opinion. That’s a fundamentally different skill, and it’s one that separates good PMs from great ones.

Design Literacy Is a Product Superpower

Most PMs I’ve worked with fall into one of two camps. Either they defer entirely to the designer (“you’re the expert, I trust you”) or they micromanage pixels without understanding why.

Neither works great.

The best PMs I know can open a Figma file, look at a proposed flow, and say: “This solves the problem, but I think we’re going to lose people at step 3 because there’s too much cognitive load.” That’s product judgment informed by design principles.

Here are the fundamentals that have made the biggest difference in how I work.

Visual Hierarchy Drives Behavior

Every screen has a job. The user lands on it and their eyes need to go somewhere. If everything is bold, nothing is bold. If there are six calls to action, there are zero calls to action.

This sounds obvious, but I can’t tell you how many product reviews I’ve sat in where the page is trying to do five things at once. The conversion data always tells the same story: users don’t know what to do, so they do nothing.

The principle is simple: every page should have ONE primary action. Everything else is secondary.

When I look at a design now, the first question I ask is “what’s the one thing we want the user to do here?” If the designer can’t answer that in one sentence, we have a problem.

Consistency Reduces Cognitive Load

This one took me a while to internalize. Consistency is about reducing the mental effort required to use your product. (If you haven’t read it, Schneiderman’s Eight Golden Rules is a great foundation for this.)

When a button is blue in one place and green in another, when the save action is top-right on one page and bottom-left on another, when confirmation messages look different everywhere, each inconsistency is a tiny tax on the user’s brain. Individually they’re nothing. Collectively they’re the reason people say “this product feels clunky” without being able to explain why.

As a PM, I’ve learned to flag consistency issues early. They compound. And they’re 10x easier to fix in design than in code.

Feedback Loops Build Trust

Users need to know their action worked. Every single time. No exceptions.

Click a button? Something should visually change. Submit a form? Show a confirmation. Trigger a process that takes time? Show a loading state.

I still see products that leave users wondering “did that work?” And every time that happens, trust erodes a little. I’ve started treating feedback loops as a product requirement, not a design nice-to-have.

Whitespace Is Not Wasted Space

My instinct as a PM was always “we have this space, let’s use it.” More features visible, more value communicated, more reasons to convert.

That instinct was backwards. Whitespace is what makes the important things important. It’s what gives the user’s eye a place to rest.

Some of the most effective design changes I’ve seen were about removing things. Taking away a sidebar. Eliminating a secondary nav. Letting the content breathe. The metrics almost always improved.

Accessibility Is Just Good Design

I’ll be honest, I used to think of accessibility as a checkbox. Something we needed to do for compliance. I was wrong and it wasn’t until I reached mid-forties that I started to recognize why they are necessary.

High contrast text is easier for everyone to read. Clear labels help everyone navigate.

Keyboard support benefits power users as much as it benefits users with motor disabilities. When we improved accessibility on our platform, our overall usability scores went up across the board. For everyone.

The PM’s Role in Design

My job is to define the problem clearly enough that the designer can solve it well. I challenge designs that optimize for aesthetics over usability. I push back when a beautiful mockup doesn’t account for edge cases, error states, or the reality of what happens when a user has 500 items instead of 5.

I don’t draw wireframes or pick colors or argue about border radius.

The best design partnerships I’ve had were two people with different expertise looking at the same problem and making it better together. That only works when the PM speaks enough design language to have the conversation.

I wish I’d started learning design fundamentals earlier. You don’t need a course. You don’t need to learn Figma (though it helps).

Just start asking “why” when you see a design decision, and pay attention to the answer. That habit alone will make you measurably better at your job.

How do you avoid burnout in product management?

There was a season a few years back where I was checking Slack before my feet hit the floor in the morning. Responding to emails during dinner. Thinking about roadmap priorities during my daughter’s volleyball game.

I wasn’t working more hours than anyone else on my team. I was just never NOT working.

Product management does this to people. (HBR’s research on burnout confirms it’s systemic, not individual.) You own the outcome but you don’t own the resources. You’re the one the CEO asks when numbers are off, the one engineering pings when priorities conflict, the one the customer success team escalates to when a big account is unhappy. The role is designed to pull you in every direction at once.

I was hired to replace the previous PM who burned out. He had replaced a PM who had burned out. Now, I was burning out. Not dramatically. I didn’t quit or have a breakdown. It was the slow kind, where you stop being excited about the work and start just surviving it. Where your family gets the leftover version of you and even that feels like it’s running on fumes.

Here’s what I’ve changed since then. I’m not going to pretend I’ve got it all figured out, but I’m in a fundamentally better place than I was, and most of it came from a few non-negotiable decisions.

Protect Your Time Like It’s a Product Requirement

I have a hard rule: home by 5:30 for dinner. No exceptions. Not for a board prep. Not for a product review. Not for a “quick sync” that will definitely run long.

I also block a 90-minute gym window in the middle of my day and an hour for reading first thing in the morning. These aren’t nice-to-haves. They’re on my calendar as immovable blocks, the same way a meeting with the CEO would be.

When I first started doing this, I felt guilty. Like I was being less committed than my peers. What I actually found is that the constraints made me sharper.

When you know you have to be done by 5:30, you stop saying yes to the third “alignment meeting” of the day. You get ruthless about prioritization because you have to be. The artificial scarcity forced better decisions about where my time went.

Automate Everything You Touch Twice

My theme for this year is automate as much as possible. Every hour I spend on repetitive work is an hour I’m not spending on the high-leverage thinking that actually moves the business forward.

Status reports, data pulls, recurring communications, task routing, inbox triage: if I do it more than twice, I build a system for it.

Some of these are sophisticated (automated morning briefings that synthesize email, calendar, and tasks into a single digest). Some are dead simple (a Slack reminder template so I don’t have to think about weekly check-ins).

The compounding effect is real. Each small automation frees up 15-30 minutes. Stack enough of them and you’ve recovered entire blocks of deep work time that used to disappear into operational overhead.

Your Team Is Your Leverage

The biggest burnout trap for PMs is thinking you need to be involved in everything. You don’t. You need to be clear about what matters, set the direction, and then trust your team to execute.

I used to review every analytics pull. Now my analytics lead knows what I care about and surfaces the insights, not the data.

I used to write every A/B test hypothesis. Now my growth marketer proposes them and I weigh in on priorities.

I used to attend every customer call. Now my PM partner handles the S4K side entirely and we sync weekly.

Delegation is about building capability on your team so that your time is spent on the decisions only you can make. If you’re the bottleneck for everything, that’s a sign of a system that’s one illness away from breaking.

Make Peace with “Good Enough”

Perfectionism will eat you alive in product management. There’s always one more edge case to account for, one more stakeholder to consult, one more data point to gather before making a decision.

I’ve learned to ask: “Is this decision reversible?” If yes, make it fast and move on. You can adjust later. If no, take the time you need.

But most decisions in product are reversible, and treating every one like it’s permanent is a fast track to analysis paralysis and the chronic stress that comes with it.

Shipping at 80% with the ability to iterate beats shipping at 100% three months late. And honestly, your users can’t tell the difference most of the time.

Faith and Purpose as Anchors

This one’s personal, so take it for what it’s worth. For me, faith is the thing that keeps work in perspective. I care deeply about what I do (I’m building products that help the church grow, and that mission matters to me). BUT it’s not the entirety of who I am.

When I remember that, it’s easier to close the laptop. It’s easier to be present at dinner. It’s easier to let go of the meeting that didn’t go well, the metric that’s off target, the feature that shipped with a bug.

Whatever your version of that anchor is (faith, family, community, a creative pursuit), guard it. Don’t let the urgency of product work crowd out the things that actually sustain you.

The Bottom Line

Burnout in product management comes from working without boundaries, without leverage, and without recovery.

Set the boundaries. Build the leverage through automation and delegation. Protect the time that restores you.

Your value is measured by the clarity of your decisions and the impact of what you ship. The version of me that protects his time, trusts his team, and goes to the gym at 11am is a better PM, a better leader, and a better husband and father than the one who was grinding 14 hours a day and calling it dedication.

25 Skills Every Product Manager Should Be Building in 2026

Product Manager sitting in his home office reading

There’s no shortage of “skills for PMs” lists on the internet. Most of them read like a job description, technically correct, but practically useless.

This isn’t that list. These are the 25 skills I’ve seen separate the product managers who move the needle from the ones who stay busy. I’ve organized them by the areas where I see the biggest gaps, not by some theoretical framework. Some of these are timeless. Some are specific to right now. All of them are things I wish someone had told me earlier in my career.


I. Customer Obsession

These are the skills that everything else builds on. Get these wrong and nothing else matters.

1. Deep Customer Knowledge

You can’t fake this one. The best PMs I’ve worked with can describe their top customer segments in vivid detail – not just demographics, but the actual daily workflow, the frustrations, the workarounds they’ve built, the language they use when they’re annoyed.

This doesn’t come from dashboards. It comes from sitting with customers, watching them use your product, and resisting the urge to defend your design choices when they struggle. Do this monthly, not quarterly. The PMs who “don’t have time” for customer conversations are the same ones who build features nobody uses.

2. Jobs-to-be-Done Thinking

Clayton Christensen’s framework has become so mainstream that people name-drop it without actually applying it. The real skill isn’t knowing what JTBD is, it’s being able to articulate the job your customer is hiring your product to do in one sentence.

If you can’t do that, you don’t understand your customer well enough yet. Every feature decision should trace back to that job. If it doesn’t advance the job, it’s noise.

3. Continuous Discovery

Teresa Torres literally wrote the book on this. The skill isn’t “doing user research” – it’s building a rhythm of weekly customer touchpoints that inform your decisions in real-time, not once a quarter when the research team delivers a 40-page report nobody reads.

The PMs who do this well talk to 2-3 customers every single week. Not formal research sessions with screeners and discussion guides. Quick, focused conversations that answer specific questions about specific opportunities.

I have “virtual coffee” times available on my calendar and invite users on our emails to book some time with me. It’s fantastic and gives me tons of insight into our customers.

4. Knowing When to Ignore Feedback

This sounds counterintuitive after three skills about listening to customers. But one of the hardest skills in product management is knowing WHICH feedback to act on and which to file away.

Not every customer request is a product insight. Sometimes a customer wants something that serves them but hurts the broader user base. Sometimes they’re describing a symptom, not the root cause. The skill is triangulating. When you hear the same pain from multiple segments, supported by data, that’s signal. When one loud customer demands something, that’s noise.

5. Empathy That Goes Beyond Platitudes

Every PM claims to have empathy. The actual skill is translating empathy into product decisions. It’s the difference between saying “I understand the user’s frustration” and redesigning the onboarding flow because you watched someone struggle for 8 minutes trying to complete a task that should take 30 seconds.

Real empathy is uncomfortable. It means watching your product fail in real-time and sitting with that feeling instead of explaining it away.


II. Strategic Thinking

These are the skills that determine whether your team is building the right things.

6. Product Vision

A compelling product vision describes what the world looks like 2-5 years from now if your product succeeds. Not a feature list. Not a technology roadmap. A picture of a better future for your customer.

The skill is making this concrete enough to inspire and vague enough to allow room for discovery. “We’ll be the leading platform for X” is not a vision. “Every pastor will have a personal AI-powered sermon preparation assistant that cuts their weekly prep time in half” – that’s a vision.

7. Product Strategy

I wrote about the 10 most common strategy mistakes recently, and the biggest one is teams that have no strategy at all — just a backlog they call a strategy.

The skill here is making choices. Real ones. Strategy means explicitly deciding what you will NOT do, who you will NOT serve, and which opportunities you will walk away from. If your strategy doesn’t make someone uncomfortable, it’s not a strategy.

8. Ruthless Prioritization

This is the skill that separates senior PMs from everyone else. You will always have more opportunities than capacity. The question is never “should we build this?” Everything on your list is probably worth building. The question is “should we build this INSTEAD of that?”

Frameworks like RICE scoring help, but the real skill is having the conviction to say no to good ideas because they’re not the BEST idea right now. Warren Buffett’s two-list strategy applies: identify your top 25 priorities, circle the top 5, and treat the other 20 as your “avoid at all costs” list.

9. Outcome-Focused Roadmapping

The shift from output-based roadmaps (“Q2: Ship feature X, Y, Z”) to outcome-based roadmaps (“Q2: Reduce trial-to-paid time from 14 days to 7 days”) is one of the most important evolutions in modern product management.

The skill is framing your roadmap around the problems you’re solving and the metrics you’re moving, not the features you’re building. This gives your team room to discover the best solution instead of being locked into a predetermined one.

10. Saying No (and Making It Stick)

Every PM knows they should say no more often. The actual skill is saying no in a way that maintains relationships and builds trust. “No, because our strategy is focused on X, and here’s why that matters more right now” is dramatically different from just “no.”

The best PMs I’ve seen turn a “no” into a learning moment by explaining the reasoning, sharing the data, and making the person feel heard even when the answer isn’t what they wanted. I’ve found that people can disagree with a well-reasoned decision. What often causes stress is ambiguity.


III. Execution and Delivery

These are the skills that turn strategy into a shipped product.

11. Rapid Experimentation

The ability to test ideas in hours or days instead of weeks or months is a superpower. This means prototyping. Not pixel-perfect mockups, but rough, testable concepts that answer specific questions.

Can users find this feature? Does this flow make sense? Will anyone actually use this? You can answer all of these questions with a prototype and 5 users in a single afternoon.

12. Writing Clear Requirements

This is an underrated skill. The gap between “what the PM imagined” and “what engineering built” is almost always a requirements problem, not a competence problem.

The skill is writing requirements that are specific enough to build from but flexible enough to allow engineering creativity. I’ve found that focusing on the PROBLEM and the SUCCESS CRITERIA while leaving the implementation approach to engineering produces the best results.

13. Data Literacy

You don’t need to be a data scientist, but you need to be dangerous with data. That means understanding statistical significance (so you don’t kill an A/B test too early), knowing which metrics actually matter for your product, and being able to query your own data when the analytics team is backed up.

AI has made this dramatically easier. You can now describe what you want in plain English and get a SQL query back. That’s a genuine unlock for PMs who previously had to wait days for a data pull.

14. Delivery Management

Understanding how your team ships code, whether it’s sprint cycles, deployment pipelines, feature flags, rollback procedures, makes you a better PM. Not because you need to manage the process (that’s engineering’s job), but because understanding the constraints helps you make better tradeoff decisions.

“Can we ship this behind a feature flag to 10% of users first?” is a much better question than “when will this be done?”

15. Technical Literacy

You don’t need to code, but you need to understand enough about your technology stack to have meaningful conversations with engineering. What’s an API? What are the database constraints? Why does this “simple” change actually require refactoring three services?

The skill is asking good technical questions, not having the answers. When your engineering lead says “that’s a 3-month project,” you should be able to ask “what makes it 3 months?” and understand the answer.


IV. Communication and Influence

These are the skills that get people aligned and keep them there.

16. Stakeholder Management

Your stakeholders have competing priorities, different incentive structures, and varying levels of product literacy. The skill is navigating all of that without losing your strategic direction.

The best approach I’ve found: radical transparency about your decision-making process. Share the data, explain the tradeoffs, make a clear recommendation, and invite disagreement before the decision, not after. People support what they help create, even if they don’t get everything they wanted.

17. Executive Communication

Executives don’t want details. They want: what’s the problem, what’s the recommendation, and what do you need from them. That’s it.

The skill is compression, taking a complex product situation and distilling it into a 2-minute narrative that leads to a clear ask. If you can’t explain your strategy in the time it takes to ride an elevator, you haven’t thought about it clearly enough.

18. Cross-Functional Leadership

PMs lead without authority. You can’t tell engineering what to build, design what to design, or marketing what to say. You can only influence.

The skill is making other teams WANT to follow your lead because you’ve earned their trust. That means understanding their constraints, respecting their expertise, giving them credit publicly, and never throwing them under the bus when something goes wrong.

19. Writing as a Leadership Tool

Product managers who write well have an outsized advantage. Strategy docs, product briefs, stakeholder updates, customer communications – writing is how PMs scale their influence beyond the meetings they attend.

Jeff Bezos banned PowerPoint at Amazon for a reason. Clear writing forces clear thinking. If you can’t write a coherent one-page strategy doc, your strategy probably isn’t coherent.

20. Storytelling with Data

Data alone doesn’t persuade anyone. The skill is wrapping data in a narrative that makes people care. “Churn increased 3%” is a data point. “We’re losing 40 paying customers every month, and here’s what they’re telling us on the way out the door” is a story that drives action.

Every dashboard metric should have a “so what?” attached to it. If you can’t articulate the “so what,” the metric isn’t useful yet.


V. Personal Mastery

These are the skills that compound over time and separate the good from the great.

21. AI Fluency

This is the new table-stakes skill for 2026. Not building AI products (though that’s increasingly common) but using AI tools to accelerate your own work.

I like Dell computers tagline of: “It’s a you-multiplier.”

Customer research synthesis, competitive analysis, PRD drafting, experiment design, data analysis, all of these are dramatically faster with AI assistance. PMs who aren’t using AI in their daily workflow are leaving massive productivity on the table.

The skill isn’t prompting. It’s knowing which parts of your work benefit from AI acceleration and which parts still require human judgment. Strategy, customer relationships, and cross-functional trust can’t be automated. Research synthesis, first-draft writing, and data analysis absolutely can.

22. Product Evangelism

Your product needs a champion, and that’s you. The skill is inspiring genuine excitement in your team, your stakeholders, and your customers without crossing the line into hype.

The best product evangelists I’ve seen lead with the customer problem, not the product solution. “Let me tell you about a pastor who spent 12 hours preparing a single sermon because our tools weren’t good enough” hits harder than “let me show you our new feature.”

23. Managing Your Energy, Not Just Your Time

PM burnout is real. The role pulls you in every direction: stakeholder meetings, customer calls, sprint planning, strategy reviews, fire drills. You can optimize your calendar perfectly and still burn out.

The skill is recognizing which activities give you energy and which drain it, then structuring your week accordingly. For me, customer conversations and strategy work are energizing. Back-to-back status meetings are draining. I protect my calendar accordingly.

24. Continuous Learning

The product management discipline is evolving rapidly. The frameworks that worked 3 years ago might not work today. The best PMs read broadly, attend selectively, and most importantly apply what they learn immediately.

Books that have shaped my thinking: Inspired by Marty CaganContinuous Discovery Habits by Teresa Torres, The Lean Startup by Eric Ries, Escaping the Build Trap by Melissa Perri, and Chief Customer Officer 2.0 by Jeanne Bliss. But reading without applying is just entertainment.

25. Intellectual Humility

This might be the most important skill on the entire list. The willingness to say “I was wrong” or “I don’t know” is what separates PMs who keep growing from ones who plateau.

Every strong opinion you hold about your product, your customers, or your market should come with an asterisk: “based on what I know right now.” New data should change your mind. Customer feedback that contradicts your hypothesis should make you curious, not defensive.

The best product managers I’ve worked with hold their strategies with conviction AND their assumptions with humility. That balance is the whole game.


The Thread That Connects All 25

If I had to distill all of these into a single principle, it would be this: the best product managers are relentlessly curious about their customers and brutally honest about what they don’t know.

Every skill on this list is either about understanding customers more deeply or making better decisions with incomplete information. That’s the job. Everything else is just technique.

The good news? Every one of these skills is learnable. None of them require a specific degree, a specific title, or a specific number of years in the role. They require intentional practice and the willingness to be uncomfortable while you’re learning.

Start with the ones where you have the biggest gap. Work on them deliberately. And be patient with yourself. The best PMs I know are still working on all 25.


Frequently Asked Questions

What is the most important skill for a product manager?

Deep customer knowledge is the foundational skill that enables everything else. Without a genuine understanding of your customers, their workflows, pain points, and goals, no amount of strategic thinking, technical literacy, or stakeholder management will produce great products. Build a habit of weekly customer conversations and the other skills become dramatically more effective.

How do product managers use AI in 2026?

Product managers use AI primarily for research acceleration like synthesizing customer interviews, generating competitive intelligence, drafting PRDs and experiment hypotheses, and querying data with natural language. The key skill is knowing which tasks benefit from AI assistance (research, analysis, first drafts) and which still require human judgment (strategy decisions, customer relationships, cross-functional trust-building).

What technical skills do product managers need?

Product managers don’t need to code, but they need enough technical literacy to have meaningful conversations with engineering. This includes understanding APIs, database constraints, deployment processes, and architectural tradeoffs. The goal isn’t to make technical decisions, it’s to ask informed questions and understand the implications of technical choices on product capabilities and timelines.

How do you transition into product management?

The most common entry points are from engineering, design, data analytics, or customer-facing roles like support or sales. Each background brings a natural strength: engineers bring technical depth, designers bring user empathy, analysts bring data fluency, and customer-facing roles bring direct insight into user pain points. Focus on building the skills in whichever category you’re weakest. Most transitions fail not because of lack of domain knowledge, but because of gaps in communication, strategic thinking, or customer understanding.

The 10 Product Strategy Mistakes I Keep Seeing (After 10+ Years in SaaS)

An enamel pin about Product Management

I’ve made every one of these mistakes. Some of them more than once. Product strategy reads well in a blog post, but in practice it’s a minefield of competing priorities, stakeholder pressure, and the constant temptation to say yes to everything.

After more than a decade leading product and growth for SaaS companies – including subscription products serving millions of users – I’ve developed a pretty reliable list of strategy mistakes that kill momentum. Not the theoretical kind you read about in business school. The real kind. The ones that cost you quarters.

Here are the 10 pitfalls I keep coming back to, the ones that have cost me the most time, energy, and momentum over the years.

What is Product Strategy, Really?

Before we get into the mistakes, let’s get aligned on what product strategy actually is – because the lack of a shared definition is often the first problem.

Product strategy is the set of choices that connect your company’s vision to the work your team does every day. It answers three questions:

  1.  Who are we building for? (target audience)
  2.  What problem are we solving for them? (value proposition)
  3. How does this create value for the business? (business model)

Marty Cagan, author of Inspired and founding partner at Silicon Valley Product Group, puts it simply: strategy is about deciding which problems are worth solving. Roman Pichler frames it as the path to your product vision – the high-level plan for achieving your goals.

The important thing is that strategy is about CHOICES. Not a roadmap. Not a feature list. Choices about what you’ll do, and more importantly, what you won’t do.

With that foundation, here are the 10 mistakes that undermine those choices.

Mistake 1: Confusing Activity with Progress

This is the one that gets almost everyone. You ship a feature. Then another. Then another. Your release notes look great. Your team feels productive.

But the metrics aren’t changing.

I’ve lived this. We shipped feature after feature and our conversion numbers stayed flat. Lots of effort, but no forward motion. The problem was that we were building things that were nice to have, not things that moved the needle.

This is what the Jobs-to-be-Done (JTBD) framework helps you avoid. When you understand the actual job your customer is hiring your product to do, it becomes much easier to evaluate whether a feature advances that job or just adds noise. Clayton Christensen’s insight was that customers don’t buy products – they hire them to make progress. If your feature doesn’t help the customer make progress on their core job, it’s activity, not progress.

How to avoid it: Before greenlighting any feature, ask “which metric does this move, and by how much?” If the team can’t answer that clearly, the feature isn’t ready to build. This is easy to say, but extremely difficult to do. Use a prioritization framework like RICE scoring (Reach, Impact, Confidence, Effort) to force the conversation beyond gut feel.

Mistake 2: Strategy by Consensus

There’s a version of inclusive leadership that sounds great in theory but kills strategy in practice. You bring everyone to the table. You gather input. You synthesize. You try to find a path that makes all stakeholders happy.

… and you end up with a strategy that offends no one and inspires no one.

Real strategy requires choices. Hard ones. The kind where someone in the room won’t like the answer. If your strategy document doesn’t explicitly state what you’re NOT doing, it’s a wish list.

This is what killed products like Google+. Google had the engineering talent, the distribution, and the resources to build a social network. But the strategy tried to be everything to everyone – a Facebook competitor, a Twitter alternative, an identity platform, a photo sharing service. No hard choices were made and the product sadly died a slow death by committee.

How to avoid it: I’ve learned (the hard way) that my job is to make everyone feel heard, synthesize the inputs, make a clear decision, and then communicate the reasoning. People can disagree with a well-reasoned decision, what they can’t work with is ambiguity. Write down your strategy in one page. If it doesn’t fit on one page, you haven’t made enough choices yet.

Mistake 3: Copying the Competition

Your competitor launches a feature. Your sales team forwards the announcement. Your CEO asks “why don’t we have this?” And suddenly your roadmap has a new top priority that wasn’t there yesterday – classic!

I’ve fallen into this trap more than I’d like to admit. You absolutely should know what your competitors are doing. The real risk is letting their decisions drive YOUR strategy.

When you copy a competitor’s feature, you’re solving for THEIR customers with THEIR context.

You don’t know why they built it. You don’t know if it’s working. You don’t know if they’re about to kill it. You’re making a strategic bet based on a press release.

Gibson Biddle, former VP of Product at Netflix, uses what he calls the DHM Model – Delight, Hard-to-Copy, and Margin-Enhancing. The “hard-to-copy” piece is key but with AI it’s getting more difficult. If your strategy is just replicating what competitors build, you’ll always be behind AND you’ll never build anything that’s uniquely valuable to your users.

How to avoid it: Understand what problem the competitor is trying to solve, then ask whether YOUR users have that same problem. Sometimes they do, and then you should solve it in a way that fits your product, your architecture, and your users’ workflow. Sometimes they don’t, and the right answer is “we’re not building that” – Jeff Bezos has a great framework for this kind of decision.

Mistake 4: Ignoring the Metrics That Actually Matter

Vanity metrics are seductive. Page views are up! Sign-ups are growing! App downloads hit a new record!

But if your churn rate is climbing at the same time, you’ve got a leaky bucket. And no amount of top-of-funnel growth fixes a retention problem.

I’ve been in situations where the dashboards looked green but the business was struggling, and situations where the top-line numbers looked concerning but the underlying health was strong. The difference was which metrics we were watching.

This is what the North Star Metric concept helps solve. Your North Star is the single metric that best captures the core value your product delivers to customers. For Spotify, it’s time spent listening. For Airbnb, it’s nights booked. For a subscription SaaS product, it might be weekly active usage or feature adoption depth.

How to avoid it: For any subscription product, the metrics that matter are: how many people start a trial, how many convert to paid, how many cancel, and what’s the net change. Everything else is context. Build your dashboard around these numbers first, THEN add the supporting metrics that explain why they’re moving.

Mistake 5: Trying to Serve Everyone

This one is especially hard in mission-driven organizations. You WANT to help everyone. Every user segment seems important. Every use case feels valid.

But trying to serve everyone equally means serving no one well.

Your onboarding can’t be optimized for beginners AND power users simultaneously. Your pricing can’t be accessible to individuals AND competitive for enterprises without compromise.

Trying to serve everyone equally means serving no one well.

Kodak learned this the hard way. They saw digital photography coming but tried to straddle both worlds – maintaining their film business while half-heartedly investing in digital. They served neither audience well, and a company that once dominated an entire industry filed for bankruptcy in 2012.

How to avoid it: The best products I’ve used (and the best products I’ve built) made clear choices about who they were for. They explicitly prioritized one audience and designed everything around their needs first. When you do that well, other segments often benefit anyway, from a focused, coherent product rather than a compromised one. Define your primary persona. Write it on the wall. When someone asks “but what about this other segment?” you have your answer ready.

Mistake 6: Having No Strategy at All

This sounds obvious, but it’s shockingly common. My last few roles I’ve called “The Fixer” because years of the company running hard has caused them to lose their focus and they suddenly realize they don’t have a strategy. They have a roadmap. They have a backlog. They have quarterly goals. They ship things on time.

But there’s no unifying thesis about WHERE the product is going and WHY.

Roman Pichler calls this the most common product strategy mistake he encounters. Teams jump straight from vision to execution without the strategic layer that connects them. The result is a collection of features that individually make sense, but collectively don’t tell a coherent story.

How to avoid it: Your strategy should be a testable hypothesis, not a document that lives somewhere on the server. Try this format: “We believe that [target audience] struggles with [problem]. If we build [solution], we’ll see [measurable outcome] within [timeframe].” If you can’t fill in those blanks, you don’t have a strategy yet. You have a to-do list.

Mistake 7: Treating Strategy as Static

You spend weeks crafting the perfect strategy document. Leadership signs off. The team aligns. You print it out and pin it to the wall.

Six months later, the market has shifted, a competitor has launched something unexpected, and your customers are telling you something you didn’t anticipate. But the strategy is “locked.”

Eric Ries built the entire Lean Startup methodology around this problem. The Build-Measure-Learn loop isn’t just for startups – it’s for any team that operates in uncertainty, which is literally every product team. Your strategy should have built-in checkpoints where you evaluate whether your assumptions still hold.

How to avoid it: Set quarterly strategy reviews. Not annual planning sessions where you redo everything – lightweight reviews where you ask: “What have we learned? What’s changed? Do our bets still make sense?” The best strategies are living documents, not manifestos. Jeff Bezos distinguishes between “one-way door” decisions (irreversible, deliberate slowly) and “two-way door” decisions (reversible, move fast). Most strategic choices are two-way doors. Treat them that way.

Mistake 8: Skipping Validation Before Committing

You have a great idea. The team is excited. Leadership is bought in. You go straight to building.

Three months later, you launch to silence. Customers don’t want it, don’t understand it, or already solved the problem another way.

I’ve seen this pattern destroy entire quarters. The excitement of a new idea creates momentum that skips right past the “should we build this?” question and lands on “how do we build this?”

How to avoid it: Before committing engineering resources, validate the problem AND the solution. Talk to 5-10 customers. Run a fake door test. Build a prototype and put it in front of real users. Teresa Torres’ Continuous Discovery framework calls this “opportunity solution trees” – mapping the opportunity space before jumping to solutions. The cost of 2 weeks of discovery is nothing compared to 3 months of building the wrong thing.

Mistake 9: Siloed Strategy Without Cross-Functional Input

Product writes the strategy. Engineering learns about it at spring planning. Design gets brought in when wireframes are needed. Marketing finds out at launch.

This isn’t strategy. It’s a relay race where nobody can actually see the finish line.

The best product strategies I’ve been part of were shaped by engineering constraints, design insights, and market intelligence from day one. Your engineers know what’s technically feasible and where the architecture creates opportunities. Your designers have insights about user behavior that data alone can’t capture. Your sales and support teams hear objections and pain points every day.

How to avoid it: Include engineering and design leads in strategy formation, not just execution. Share customer research broadly. Bring it up in meetings regularly. Make your strategy document accessible to everyone on the team, not locked into a leadership slide deck. When people understand the WHY behind the strategy, they make better decisions at every level.

Mistake 10: Being Unrealistic About Execution Capacity

This is the mistake that ties all the others together. You have a clear strategy. You’ve validated the direction. You’ve made all the hard choices about what to build.

Then you commit to 3x more than your team can actually deliver.

Your roadmap becomes a pressure cooker. Quality drops. Shortcuts get taken. The team burns out. And paradoxically, you end up delivering LESS than if you’d committed to fewer things done with excellence.

I’ve seen this cycle repeat across every company I’ve worked with. The ambition is always bigger than the capacity, and the gap gets filled with overtime and technical debt instead of honest prioritization.

How to avoid it: Be ruthlessly honest about how much your team can ship in a quarter. Then cut 20% from that estimate. Even writing that sounds crazy, but it must be done. Use the OKR framework (Objectives and Key Results) to limit your bets to 3-5 outcomes per quarter – not 3-5 per team, 3-5 total. Warren Buffett’s “two-list strategy” applies here: write down your top 25 priorities, circle the top 5, and treat the other 20 as your “avoid at all costs” list (avoid them entirely until the top 5 are achieved). The same logic applies to product strategy.

The Uncomfortable Truth

Product strategy is about having the discipline to say no to good ideas that don’t align with what matters most right now.

Every mistake on this list comes from the same root: the unwillingness to make a hard choice and live with the tradeoff.

Choose the right things. Decide clearly. Pick your own path. (I wrote about this focus in 5 things needed for business success.) Watch the honest metrics. Serve someone specific.

Strategy is the art of sacrifice. The sooner you get comfortable with that, the better your products will be.

Product Strategy Checklist

Before you finalize your next product strategy, run through this list:

  • Can you state your target audience in one sentence?
  • Can you articulate the core problem you’re solving for them?
  • Does your strategy explicitly state what you’re NOT doing?
  • Is every major initiative tied to a measurable outcome?
  • Have you validated your assumptions with real customers?
  • Does your team have the capacity to execute this quarter’s plan?
  • Have you set a date to review and adapt the strategy?
  • Can your entire team articulate the strategy without looking at a document?
  • Is there a clear North Star Metric everyone is aligned on?
  • Would you bet your own money on this plan working?

If you can’t check every box, your strategy still has gaps. Go back and make the hard choices.

Frequently Asked Questions

What are the most common product strategy mistakes?

The most common product strategy mistakes include confusing activity with progress (shipping features that don’t move metrics), strategy by consensus (avoiding hard choices to keep everyone happy), copying competitors instead of solving for your own users, ignoring retention metrics in favor of vanity metrics, and trying to serve every user segment equally. The root cause of most strategy failures is an unwillingness to make clear choices and accept tradeoffs.

What is the difference between product strategy and a product roadmap?

Product strategy defines WHERE you’re going and WHY. It’s about choices, tradeoffs, and the thesis behind your product direction. A product roadmap is the HOW and WHEN – the sequence of work that executes the strategy. A roadmap without a strategy is just a feature list. A strategy without a roadmap is just a vision. You need both, but strategy comes first.

How do you create an effective product strategy?

An effective product strategy begins with a clear understanding of your target audience, the problem you’re solving, and how solving it creates business value. Frameworks like Jobs-to-be-Done help identify what customers actually need. Validate your assumptions through customer discovery before committing resources. Set a North Star Metric to track progress. Review and adapt quarterly. Most importantly, be explicit about what you will NOT do – that’s ultimately where the real strategy lives.

How often should you update your product strategy?

Product strategy should be reviewed quarterly and updated when market conditions, customer needs, or business goals change significantly. It should NOT change weekly based on competitor moves or stakeholder requests. The best approach is setting lightweight quarterly checkpoints where you evaluate whether your core assumptions still hold, while keeping the overall strategic direction stable enough for the team to execute with confidence.

Revolutionizing Product Management: Insights from Industry Leaders and Emerging Trends

In the fast-paced world of software as a service (SaaS), product management stands at the intersection of technology, strategy, and user experience. Recent insights from industry leaders and emerging trends highlight how product teams are navigating new challenges and opportunities, especially with the integration of AI and advanced database infrastructures. This article explores key learnings from top product management blogs, offering a comprehensive guide for professionals looking to enhance their strategies and operations.

The Evolution of Database Infrastructure

The shift in database technology is pivotal for SaaS companies aiming for scalability and performance. Intercom’s journey with Vitess and PlanetScale, as discussed in “Evolving Intercom’s database infrastructure: Lessons and progress,” showcases:

  • Scalability: How adopting PlanetScale Metal has allowed for zero-downtime maintenance and performance improvements.
  • Performance: Insights into how new database technologies can handle increased load without compromising speed.
  • Lessons Learned: The challenges and triumphs of integrating new systems into existing architectures, offering a roadmap for similar transitions.

Designing for User Clarity

Product design isn’t just about aesthetics; it’s about clarity and usability. Pranava Tandra from Intercom shares in “Intercom on Product: Designing for Clarity”:

  • Balancing Simplicity with Depth: Strategies for redesigning information architecture to make complex features discoverable yet not overwhelming.
  • AI Integration: How AI can be seamlessly integrated to enhance user interaction without disrupting the existing user flow.

Learning from Product Conferences

Conferences like #mtpcon London provide a wealth of knowledge:

  • Key Takeaways: Insights from product leaders on current trends, including the integration of AI in product management, as seen in “What we learned at #mtpcon London 2025.”
  • Networking and Collaboration: The value of community and peer learning in advancing product strategies.

Leveraging AI in Product Management

AI’s role in product management has grown exponentially:

  • Enterprise AI Agents: The article “How to build an Enterprise AI Agent” discusses how AI can manage and utilize organizational knowledge, reducing productivity drain.
  • Analytics Superpowers: AI’s ability to simplify SQL queries and data analysis, as highlighted in “Are you struggling with SQL? AI can give you analytics superpowers.”

Strategic User Engagement and Retention

Driving user adoption and retention is crucial:

  • Onboarding Gamification: Utilizing gamification techniques to engage users during onboarding, as explored in “11 Onboarding Gamification Examples to Engage & Retain Users.”
  • Feature Adoption: Tactics to ensure new features are adopted, enhancing user experience and product value, detailed in “How to Drive Feature Adoption: 10 Proven Strategies (+ Examples).”

Customer-Centric Approaches

Understanding and leveraging customer feedback:

  • Feedback Tools: A review of the best tools for collecting and analyzing customer feedback in “16 Best Customer Feedback Tools For SaaS Companies.”
  • UX Metrics: Key metrics to track for measuring user experience, as discussed in “How to Measure User Experience: 7 Key UX Metrics.”

Conclusion

The landscape of product management is continuously evolving, driven by technological advancements and strategic insights shared by industry leaders. From redesigning for clarity and leveraging AI for deeper analytics to enhancing customer engagement through innovative onboarding and feedback mechanisms, product managers have so many tools and knowledge at their disposal. By staying informed and adaptable, product teams are ready to not only meet but exceed market demands, ensuring their products remain competitive and user-centric.

25 Skills a Product Manager should focus on in 2025

I’ve been in product leadership long before the term ‘Product Management’ became a common buzzword. Over the past eight years, I’ve held various titles with ‘Product’ in them, and yet, every day brings new lessons and insights. As I approach 2025, I’ve realized the importance of grounding myself in the principles that have guided me so far. This list serves as a personal reminder—a collection of foundations I’ve built upon, shaped by insights from books like Crucial Conversations, INSPIRED, The E-Myth Revisited, and The Mom Test.

I. Foundational Principles

  1. Embrace the Product Mindset: Product management is not just a job; it’s a mindset 1. It requires a passion for solving customer problems and a commitment to continuous improvement.
  2. Deep Customer Knowledge: Become an undisputed expert on your customers2. This involves understanding their needs, pain points, and desires through both qualitative and quantitative data3.
  3. Data-Driven Decisions: Be comfortable with data and analytics4. Use data to understand how customers are using your products, analyze A/B test results, and inform product decisions.
  4. Master the Product: Be an expert on your actual product and your industry. Share your knowledge openly and generously.
  5. Continuous Learning: Stay intellectually curious and quickly apply new technologies to solve problems for customers5.

II. Team Dynamics & Collaboration

  1. Build Strong Product Teams: Focus on building and nurturing strong, collaborative relationships with your product team. A product team typically includes a product manager, a product designer, and engineers.
  2. Empowered Teams: Champion empowered product teams that are equipped to solve business problems. Ensure your team understands the company vision and how their work contributes to the larger purpose6.
  3. Cross-Functional Collaboration: Work effectively with product designers, engineers, and product marketing managers. Ensure product marketing is embedded with the product team7.
  4. Effective Communication: Communicate product learnings clearly and consistently. Keep stakeholders informed and engaged8.
  5. Delivery Management: Recognize the importance of delivery managers in removing obstacles for the team. Their work ensures that the team can focus on building valuable products9.

III. Strategic Product Development

  1. Product Vision: Develop a compelling and inspiring product vision10. Use it to articulate your purpose and inspire the team11.
  2. Product Strategy: Define a clear product strategy that serves as a path to achieving the product vision. Ensure alignment between the product strategy and overall business strategy12.
  3. Product Principles: Complement your product vision and strategy with a set of guiding principles that define the nature of the products you want to create13.
  4. Outcome-Focused Roadmaps: Shift from output-based roadmaps to those focused on business outcomes14. Ensure every roadmap item is tied to a specific business objective.
  5. Embrace Discovery: Prioritize product discovery, which involves collaboration between product management, UX design, and engineering. Tackle risks before writing any code.
  6. Prioritize Ruthlessly: Focus on a single, scalable idea rather than jumping on every good one15.
  7. Problem-First Approach: Focus on solving the underlying problem. Don’t get caught up in the solution before you’ve fully understood the problem16.
  8. Customer Discovery Programs: Use customer discovery programs to ensure that you’re building a product that customers love.

IV. Product Discovery and Delivery

  1. Master Discovery Techniques: Utilize various discovery techniques to understand customer needs and validate ideas. This includes opportunity assessment, customer letters, and startup canvases.
  2. Rapid Experimentation: Use prototypes to conduct rapid experiments17. Test ideas with users, customers, engineers, and business stakeholders in hours and days, not weeks and months18.
  3. Usability Testing: Conduct regular usability tests to identify friction points in prototypes. Use these tests to learn about how customers use your products19.
  4. Continuous Delivery: Strive for frequent release cycles to ensure teams move quickly and release with confidence.
  5. Iterative Approach: Understand that it typically takes several iterations to get the execution of an idea to the point where it delivers the expected business value20.

V. Leadership & Growth

  1. Product Evangelism: Become an effective evangelist for your product. Inspire your team, stakeholders, and customers by “selling the dream”. Use prototypes to communicate the product vision21.
  2. Adaptability: Be prepared to adapt to changes in the market and new trends22. Be flexible with the details, but remain stubborn on the overall vision.

Conclusion

Product management in 2025 will demand a combination of deep technical knowledge, strategic thinking, and a genuine passion for solving customer problems. By focusing on these 25 areas, product managers can position themselves for success and contribute to the creation of truly impactful products. It’s not about having all the answers, but about asking the right questions and embracing a continuous learning mindset.


  1. “The art of Product Management is the art of life itself. Surround your-selves by great people, focus on your mojo, build great stuff with integrity, hold strong opinions but lightly. And Marty is one of the best teachers of this art.” —Punit Soni, Founder and CEO, Robin, Former Google APM ↩︎
  2. “you need to become an acknowledged expert on the customer: their issues, pains, desires, how they think—and for business products, how they work, and how they decide to buy.” —INSPIRED, Marty Cagan ↩︎
  3. “Without this deep customer knowledge, you’re just guessing. This requires both qualitative learning (to understand why our users and customers behave the way they do), and quantitative learning (to understand what they are doing)” —INSPIRED, Marty Cagan ↩︎
  4. “… product managers are expected to be comfortable with data and analytics. They are expected to have both quantitative skills as well as qualitative skills. The Internet enables unprecedented volume and timeliness of data.
    A big part of knowing your customer is understanding what they’re doing with your product. Most product managers start their day with half an hour or so in the analytics tools, understanding what’s been happening in the past 24 hours. They’re looking at sales analytics and usage analytics. They’re looking at the results of A/B tests.” —INSPIRED, Marty Cagan ↩︎
  5. Be “intellec-tually curious, quickly learning and applying new technologies to solve problems for customers, to reach new audiences, or to enable new business models.” —INSPIRED, Marty Cagan ↩︎
  6. “The product teams need to have the necessary business context. They need to have a solid understanding of where the company is heading, and they need to know how their particular team is supposed to contribute to the larger purpose.” —INSPIRED, Marty Cagan ↩︎
  7. “… because that’s where they are connected to the experience that the customer is having an opportunity to engage with.” —INSPIRED, Martina Lauchengco ↩︎
  8. “Evangelize continuously and relentlessly. There is no such thing as over-communicating when it comes to explaining and selling the vision. Especially in larger organizations, there is sim-ply no escaping the need for near-constant evangelization. You’ll find that people in all corners of the company will at random times get nervous or scared about something they see or hear. Quickly reassure them before their fear infects others.” —INSPIRED, Marty Cagan ↩︎
  9. “In growth-stage and enterprise companies, many product managers complain that they have to spend far too much of their time doing project management activities. As a result, they have almost no time to address their primary product responsibility: ensuring that the engineers have a product worth building.
    Delivery managers are a special type of project manager whose mission is all about removing obstacles—also known as impediments—for the team. Sometimes, these obstacles involve other product teams, and sometimes they involve non-product functions. In a single day, they might track down someone in marketing and press them for a decision or an approval, coordinate with the delivery manager on another team about prioritizing a key dependency, persuade a product designer to create some visual assets for one of the front-end developers, and deal with a dozen other similar roadblocks.” —INSPIRED, Marty Cagan ↩︎
  10. “The product vision describes the future we are trying to create, typically somewhere between two and five years out. For hardware or device-centric companies, it’s usually five to 10 years out.
    Note that this is not the same as the company mission statement. Examples of mission statements are “organize the world’s information” or “make the world more open and connected” or “enable anyone any-where to buy anything anytime.” Mission statements are useful, but they don’t say anything about how we plan on accomplishing that. That’s what the product vision is for.” —INSPIRED, Marty Cagan ↩︎
  11. “Start with why. This is coincidentally the name of a great book on the value of product vision by Simon Sinek. The central notion here is to use the product vision to articulate your purpose. Everything follows from that.
    Fall in love with the problem, not with the solution. I hope you’ve heard this before, as it’s been said many times, in many ways, by many people. But it’s very true and something a great many product people struggle with.” —INSPIRED, Marty Cagan ↩︎
  12. “Communicate the strategy across the organization. This is part of evangelizing the vision. It’s important that all key business partners in the company know the customers we’re focused on now and which are planned for later. Stay especially closely synced with sales, marketing, finance, and service.” —INSPIRED, Marty Cagan ↩︎
  13. “Where the product vision describes the future you want to create, and the product strategy describes your path to achieving that vision, the product principles speak to the nature of the products you want to create.” —INSPIRED, Marty Cagan ↩︎
  14. … focus “on outcome and not output. Realize that typical product roadmaps are all about output. Yet, good teams are asked to deliver business results.
    Most of the product world has the same definition for product roadmap, but there are a few variations. I define product roadmap as a prioritized list of features and projects your team has been asked to work on. These product roadmaps are usually done on a quarterly basis, but sometimes they are a rolling three months, and some companies do annual roadmaps.” —INSPIRED, Marty Cagan ↩︎
  15. “Startups are about focusing and executing on a single, scalable idea rather than jumping on every good one which crosses your desk.” —The Mom Test, Rob Fitzpatrick ↩︎
  16. “This is another reason why typical product roadmaps are so problematic. They’re lists of features and projects where each feature or project is a possible solution. Somebody believes that feature will solve the problem or it wouldn’t be on the roadmap, but it’s all too possible they are wrong. It’s not their fault—there’s just no way to know at the stage it’s put on the roadmap.
    However, there very likely is a legitimate problem behind that potential solution, and it’s our job in the product organization to tease out the underlying problem and ensure that whatever solution we deliver solves that underlying problem.” —INSPIRED, Marty Cagan ↩︎
  17. “… use prototypes to conduct rapid experiments in product discovery, and then in delivery, we build and release products in hopes of achieving product/market fit, which is a key step on the way to delivering on the company’s product vision.” —INSPIRED, Marty Cagan ↩︎
  18. “If we can prototype and test ideas with users, customers, engi-neers, and business stakeholders in hours and days—rather than in weeks and months—it changes the dynamics, and most important, the results.
    It’s worth pointing out that it isn’t the list of ideas on the roadmap that’s the problem. If it was just ideas, there’s not much harm in that. The issue is that anytime you put a list of ideas on a document entitled “roadmap,” no matter how many disclaimers you put on it, people across the company will interpret the items as a commitment. And that’s the crux of the problem, because now you’re committed to build-ing and delivering this thing, even when it doesn’t solve the underlying problem.” —INSPIRED, Marty Cagan ↩︎
  19. “You will need to define in advance the set of tasks that you want to test. Usually, these are fairly obvious. If, for example, you’re building an alarm clock app for a mobile device, your users will need to do things like set an alarm, find and hit the snooze button, and so on. There may also be more obscure tasks, but concentrate on the primary tasks—the ones that users will do most of the time.
    Some people still believe that the product manager and the prod-uct designer are too close to the product to do this type of testing objectively, and they may either get their feelings hurt or only hear what they want to hear. We get past this obstacle in two ways. First, we train the product managers and designers on how to conduct themselves, and second, we make sure the test happens quickly—before they fall in love with their own ideas. Good prod-uct managers know they will get the product wrong initially and that nobody gets it right the first time. They know that learning from these tests is the fastest path to a successful product.” —INSPIRED, Marty Cagan ↩︎
  20. “…even with the ideas that do prove to be valuable, usable, feasible, and viable, it typically takes several itera-tions to get the execution of this idea to the point where it delivers the expected business value that management was hoping for. This is often referred to as time to money” —INSPIRED, Marty Cagan  ↩︎
  21. “The product vision needs to inspire. Remember that we need product teams of missionaries, not mercenaries. More than anything else, it is the product vision that will inspire missionary-like passion in the organization. Create something you can get excited about. You can make any product vision meaningful if you focus on how you genuinely help your users and customers.” —INSPIRED, Marty Cagan ↩︎
  22. “Determine and embrace relevant and meaningful trends. Too many companies ignore important trends for far too long. It is not very hard to identify the important trends. What’s hard is to help the organization understand how those trends can be leveraged by your products to solve customer problems in new and better ways.” —INSPIRED, Marty Cagan ↩︎

Marketing Dashboards

In my role at FSI.co I deal with an overwhelming amount of data. To make it simpler, I’m going to focus on one segment of the data that I’ve been trying to get a grasp on so that I can help further our mission – to be known as the provider for polyurethane chemical systems.

I’m challenging our Digital Marketing Director to develop dashboards so the executive team can quickly see and digest how effective the marketing campaigns we run are. As I’ve been researching business intelligence further, I am beginning to understand that finding data points is often too easy, and throwing up random data on a dashboard lives in the primary stage of DATA.

Let’s back up here and explain the four stages of DIKW otherwise known as the Wisdom Hierarchy. This is a way of categorizing data into four distinct levels: Data, Information, Knowledge and Wisdom.

  • Data is raw data that has not been organized or interpreted. For example, temperature readings in various regions.
  • Information is data that has been categorized and organized according to certain criteria.
  • Knowledge is “justified true belief”, as defined by Plato. It includes additional relational information such as correlations, causation, logic and conditions for the models to hold. This knowledge can then be put into actionable models which are a form of knowledge in themselves.
  • Wisdom comes from being able to identify and apply this relevant knowledge in meaningful ways.

So how would all of this help us in this example of a dashboard I’m preparing to setup in the Marketing department?

I listened to a podcast recently where Forrester’s VP & Principal Analyst Ross Graber stated: “Our latest buying study showed us that on average buyers are going through 27 different motions before they make a successful purchasing decision.”

That statistic aligns with what I’ve been hearing for the last year or two. That 27 motions are not time boxed either. As an example, one of our chemical systems is such a large scale decision that it takes roughly 5 years to move the purchasing organization along the buyer’s journey from Awareness to Decision.

My goal with setting up the dashboard is to be able to identify these 27 interactions and see where we can help answer questions or minimize risks, fears, anxieties the business may have. How can we turn a 5 year decision into a 2 year decision?

That is where wisdom is in the DIKW hierarchy.

User Experience and the ease of usability

The definition of usability is sometimes reduced to “easy to use,” but this over-simplifies the problem and provides little guidance for the user interface designer. A more precise definition can be used to understand user requirements, formulate usability goals and decide on the best techniques for usability evaluations. An understanding of the five characteristics of usability – effective, efficient, engaging, error tolerant, easy to learn – helps guide the user-centered design tasks to the goal of usable products.

  • Usability means thinking about how and why people use a product. 
    Good technical writing, like good interaction design, focuses on user’s goals. The first step in creating a usable product is understanding those goals in the context of the user’s environment, task or work flow, and letting these needs inform the design.
  • Usability means evaluation.
    Usability relies on user-feedback through evaluation rather than simply trusting the experience and expertise of the designer. Unlike conventional software acceptance testing, usability evaluation involves watching real people use a product (or prototype), and using what is learned to improve the product.
  • Usability means more than just “ease of use”
    The 5 Es – efficient, effective, engaging, error tolerant and easy to learn – describe the multi-faceted characteristics of usability. Interfaces are evaluated against the combination of these characteristics which best describe the user’s requirements for success and satisfaction.
  • Usability means user-centered design
    Users are satisfied when an interface is user-centered – when their goals, mental models, tasks and requirements are all met. The combination of analysis, design and evaluation all approached starting from the user’s point of view creates usable products.

Read the well written, in-depth post by Whitney Quesenbery on her site here: http://www.wqusability.com/articles/more-than-ease-of-use.html

Thomas Huxley

Perhaps the most valuable result of all education is the ability to make yourself do the thing you have to do when it ought to be done, whether you like it or not; it is the first lesson that ought to be learned; and however early a man’s training begins, it is probably the last lesson that he learns thoroughly.