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The mistake: building a strategy around assumptions about what customers want instead of evidence. This usually isn't laziness, it's more often a team that's confident enough in its own instincts that research feels like a delay rather than a necessary step.
This is the single most consequential mistake on this list, by a wide margin. CB Insights, analyzing over 100 startup post-mortems, found that 42% of failures came down to "no market need", more than double the next most common cause. I've watched this play out the same way enough times to recognize the shape of it early: a team is confident, the early build looks good in internal demos, and the market feedback that would have changed the plan either never gets collected or gets collected too late to act on without abandoning real sunk cost.
The fix: treat research as a real phase with real time allocated, not a formality to check off. Interview actual users, look at support tickets and churn reasons if the product already exists, and be willing to be wrong about what you assumed the market wanted. The uncomfortable part isn't doing the research, most teams can manage that. It's being willing to act on it when it contradicts a direction the team is already emotionally invested in.
The mistake: setting a price or a monetization model based on internal guesses about what feels fair, rather than what the market will actually bear. This often produces a strategy that looks financially sound on a spreadsheet and falls apart the moment real customers see the price.
The fix: test pricing with real prospects before it's locked in, even informally. A pricing model is part of the product strategy, not an afterthought bolted on once the product itself is finished.
The mistake: a roadmap that lists features in the order they were requested rather than the order that actually serves the strategy. This tends to happen when a strategy exists on paper but isn't actually being used to make prioritization decisions day to day.
Pendo's feature adoption research, based on aggregated real usage data across its customer base, found that 80% of features in the average software product are rarely or never used. That number is a reasonable proxy for how often "the order things were requested" and "the order that actually serves the strategy" turn out to be different lists. Every unused feature was a real decision made by a real team at some point; the roadmap logic that let it through is usually the actual thing worth fixing, not any individual feature in isolation.
The fix: every roadmap item should be traceable back to a specific part of the strategy it serves. If a feature can't be justified against the strategy, that's either a sign the feature doesn't belong yet, or a sign the strategy needs revisiting because it's missing something real that customers are asking for.
The mistake: writing a strategy document, socializing it once, and then not revisiting it as real usage data, competitive moves, or market shifts come in. A strategy that never changes eventually stops matching the market it was written for.
The fix: build a real review cadence, quarterly is common, and treat a strategy change as a legitimate outcome of that review, not a failure of the original plan. Markets move; a strategy that can't adapt isn't more disciplined, it's just outdated.
The mistake: broadening the target market mid-strategy because a promising-looking segment shows up that wasn't part of the original plan. This usually comes from a good instinct, more addressable market looks appealing, but it tends to dilute the product until it serves no one particularly well.
The fix: evaluate new segments against the existing strategy explicitly rather than absorbing them by default. Sometimes the right call is a deliberate hybrid strategy; sometimes it's saying no to a segment that doesn't fit, even when the opportunity looks real.
The mistake: measuring strategy execution by how much the team shipped rather than by whether what shipped actually moved the metrics the strategy was meant to move. A team can be extremely busy and still be executing against the wrong plan.
The fix: tie specific, measurable outcomes to the strategy upfront, not just feature completion. "We shipped it" and "it worked" are different claims, and only one of them validates the strategy.
Most of these mistakes trace back to the same root cause: treating the strategy as a document instead of a decision-making tool that gets used in real time. A strategy that sits in a slide deck and never gets consulted during actual prioritization debates isn't really a strategy, it's a summary of good intentions.
It's worth naming what the research actually says causes the alternative. The Standish Group's CHAOS research, tracking software project outcomes for three decades, consistently finds clear requirements and real user involvement among the strongest predictors of a project landing in the successful minority rather than the much larger "challenged" or "failed" categories. Both of those are strategy outputs, not separate disciplines. A team that skips the mistakes above is, in effect, already doing the two things that research says matter most.
If I had to compress everything above into one test, it's this: pull up your last five roadmap decisions and ask whether you could explain each one by pointing to a specific line in your strategy document, not from memory, but by actually pointing at it. In my experience, teams that can do this comfortably rarely show up in the failure statistics above. Teams that can't usually already sense it before anyone points it out.
A product strategy is the plan that connects what your company wants to become to the specific product decisions that get you there.
For the full framework these mistakes map back to, see Product Strategy: The Complete Guide. For real companies that avoided these pitfalls, see 6 Real Product Strategy Examples.
None of these six mistakes require a bad idea to happen, that's what makes them worth naming explicitly. A team with a genuinely good product concept can still lose to skipped research, an unvalidated price, or a roadmap nobody can trace back to a real decision. The fix for all six is less about working harder and more about being willing to let evidence, not internal confidence, decide what happens next.
Skipping real market research, by a wide margin. It's also the one most likely to cause the other five, a strategy built on untested assumptions tends to produce a roadmap with no real sequencing logic and a pricing model nobody validated, since none of it was grounded in evidence to begin with.
Usually, yes, but it requires actually admitting the mistake rather than working around it quietly. A roadmap built on flawed assumptions doesn't get fixed by adding more features; it gets fixed by going back to the research phase that got skipped and being willing to change direction based on what it turns up.
Pick five items currently on the roadmap and ask, for each one, what specific part of the strategy document justifies it. If the honest answer for more than one or two is "a stakeholder wanted it" rather than a strategic reason, the roadmap is running on requests, not strategy, even if a strategy document technically exists somewhere.
