The Best PMs Miss This Early: Obsessing Over Current Customers
Biggest problem with the best PMs in their early stages: they do everything right but miss one critical point.
They talk to users. They validate problems. They write solid specs. They ship on time. And the feature still doesn't move the needle.
Not because it was the wrong feature. But because they weren't obsessed enough with the pain of current customers and the exact path to adoption.
Not future customers. Not "market expectations." Actual people. Paying today.
TL;DR: Building features that solve real problems isn't enough. You need to obsess over how current customers will actually adopt what you build. That means understanding existing workflows, required behavior changes, internal buy-in, and who champions the feature inside the customer's org. Adoption is part of building a product, not something that happens after shipping.
The gap between "can add value" and "will add value"
It took me years to realize this distinction. And once I did, it changed how I evaluate every feature on a roadmap.
"Can add value" means: this feature solves a real problem for a real segment. The logic checks out. The user research supports it. The business case is sound.
"Will add value today" means: this feature will get adopted by existing customers within a reasonable timeframe and produce measurable results.
These are not the same thing. Not even close.
You should not be building features that "can" add value. You should be building features that "will" add value today. Immediately. For the people already using your product.
The difference is adoption. And adoption is where most otherwise-excellent product work quietly dies.
Why even good features fail
You've seen this happen. A well-researched feature ships. The team celebrates. Usage numbers come in two weeks later. Flat. Maybe a small bump. Nothing close to what the business case projected.
What went wrong? The feature solved a real problem. Users said they wanted it. The implementation was solid.
It failed because customers don't magically abandon existing workflows.
This is especially true in B2B. Your customers have:
- Habits. They've been doing things a certain way for months or years. Even if your feature is objectively better, the switching cost is real.
- Processes. There are documented workflows. Playbooks. Training materials. Your feature doesn't just need to be good. It needs to fit into (or justify rewriting) existing processes.
- Approvals. In B2B, the person who wants the feature often isn't the person who decides whether the team uses it. There are managers, compliance teams, procurement cycles, change management boards.
A feature can be perfect and still fail because nobody inside the customer's org had the energy or authority to push it through these layers.
Going deeper than "What problem does this solve?"
Every PM asks: "What problem does this solve?" That's table stakes.
Strong PMs go further. They ask questions that predict adoption, not just validate the problem:
"How does this fit into the customer's current workflow?"
If your feature requires users to leave their existing flow, open a new tab, learn a new interface, or change when they do a task, you've added friction. And friction kills adoption. The best features slot into existing patterns. They feel like a natural extension of what users already do.
"What behavior actually needs to change?"
Be honest about this. If your feature requires users to do something differently every day, that's a high bar. Not impossible. But you need to plan for it. Adoption won't be automatic.
"Who inside the org needs to buy in?"
In B2B, features don't get adopted by individuals. They get adopted by teams. Who needs to say yes? The team lead? The IT admin? The compliance officer? If you don't know, your adoption plan has a blind spot.
"Who becomes the internal champion?"
Every successful B2B feature has someone inside the customer's org who pushes for it. Who evangelizes it in their team. Who does the internal selling you can't do yourself. If you can't identify who that person would be, the feature has an adoption problem.
This depth is what increases the probability of hitting success metrics. Not better engineering. Not more features. Better understanding of how the feature actually enters people's lives.
The "future customers" objection
I've seen people push back on this approach: "What about features for future customers? Aren't we supposed to be building for growth?"
It's a fair question. And the answer is nuanced.
Features for current customers beat assumptions about future ones almost every time. Here's why:
Current customers give you:
- Real constraints. You know their stack, their team size, their workflow. You can design for reality, not guesses.
- Real urgency. They have deadlines, quarterly goals, problems that cost them money today. This urgency drives adoption.
- Real feedback loops. You ship, they use it (or don't), you learn. The cycle is tight and honest.
When you build for hypothetical future users, you lose all three. You're designing for imagined constraints. There's no urgency because the users don't exist yet. And you don't even know when the first meaningful feedback cycle will begin.
That doesn't mean you should never think about future customers. But the ratio matters. Most early-stage PMs over-index on "what the market might want" and under-index on "what our paying customers need this quarter."
Iteration speed is the real advantage
Here's the compounding effect most PMs miss:
When you build for current customers, you get fast feedback. Fast feedback means faster iteration. Faster iteration means you converge on the right solution quickly.
When you build for future customers, feedback is slow (or nonexistent). You ship and wait. Maybe someone finds it in three months. Maybe they use it differently than expected. Maybe the market shifted by the time they arrived. You're flying blind.
The PM who ships five iterations for current customers in the time it takes another PM to validate one hypothesis about future ones will almost always end up in a better place.
Not because current customers are always right. But because real usage data beats educated guesses at every stage.
Adoption is part of building the product
This is the mindset shift that separates good PMs from great ones.
Most PMs think of product work as: discover problem, design solution, build it, ship it. Done. Adoption is marketing's job. Or customer success. Or "the feature is good enough that people will find it."
The best PMs eventually realize: adoption is part of building the product. Not something that happens after shipping.
That means:
- Designing for the switch. How does a user go from their current tool/workflow to this feature? What's step 1? What's the minimum behavior change required?
- Building for the champion. Can the internal advocate easily demo this to their team? Can they articulate the benefit in one sentence? Have you given them the ammunition?
- Planning for resistance. Who will push back? IT teams worried about security? Managers who don't want process changes? What objections will come up, and how does the feature address them?
- Measuring adoption, not just usage. A user opening the feature once isn't adoption. Adoption is repeated use that replaces the old way. Track that.
If you only think about adoption after shipping, you're already behind. The adoption path should influence design decisions from day one.
What this looks like on a roadmap
Practically, this means your roadmap prioritization should weigh adoption probability, not just problem severity or business value.
A feature that solves a moderate problem but has a clear adoption path (fits existing workflow, has an obvious champion, requires minimal behavior change) will often outperform a feature that solves a critical problem but has adoption barriers (requires new processes, no clear champion, forces behavior change across multiple teams).
The question isn't just "is this valuable?" It's "will this get used?"
And "will this get used?" requires you to understand the customer's world deeply. Their org structure. Their daily tools. Their decision-making processes. Their change tolerance.
The bottom line
If you're a PM doing everything right and still not seeing the impact you expect, look at adoption.
Are you building things that can add value? Or things that will add value for the people paying today?
The difference is empathy for the customer's current reality. Not their aspirational state. Not what they'll do "once they fully onboard." Their life right now. Their workflows today. Their constraints this quarter.
Obsess over that, and the impact follows.
How ProductResume helps
This kind of product thinking, obsessing over adoption, understanding customer workflows, championing internal buy-in, is exactly what hiring managers evaluate under the Domain Expertise dimension on PM resumes. If you're a B2B PM, your resume bullets should reflect this depth. Not just "shipped feature X" but "drove adoption of X across 40 accounts by designing for existing workflows." Score your PM resume to see how well your experience communicates this level of strategic thinking.