The Feature Nobody Asked For
A consumer hardware company ran a research program with 1,200 survey respondents and 18 depth interviews. The data shows customers rank battery life and durability as their top two purchase drivers, and price sensitivity is high. Meanwhile, the product team has built a prototype for a premium subscription service that adds personalized coaching through an app. Internal enthusiasm is high because two executives use a competitor's similar feature daily. Survey data shows only 9% of respondents express interest in coaching, and of those, most are already in the highest-price tier. The company needs a growth story for next year's roadmap.
1. How should the team evaluate whether the coaching feature represents a real opportunity?
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Separate enthusiasm from evidence. The relevant evidence here points away from the feature as a broad growth play:
- Stated interest of 9% is weak on its own, and stated interest reliably overstates purchase intent, so the true addressable interest is likely lower.
- The interested segment is concentrated in the top price tier, which means the feature may deepen value for an existing high-value group rather than acquire new customers.
- The top purchase drivers (battery, durability) are unaddressed by the feature, so it doesn't move the metrics that actually drive purchase.
A disciplined evaluation asks: which customer problem does this solve, how many customers have it, will they pay enough to cover build and ongoing service cost, and does it support the stated growth goal (acquisition vs. retention vs. ARPU)? Here the honest answer is that coaching is plausibly a retention or premium-tier play for a narrow segment, not the growth story the roadmap needs. The executive anecdote is a sample of two and should be labeled as such.
2. What should the company do next before committing roadmap resources?
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Run a cheap test that produces behavioral, not attitudinal, evidence:
- Define the hypothesis explicitly: e.g., 'X% of premium-tier customers will pay $Y/month for coaching, and it reduces churn by Z points.'
- Test with a concierge or limited pilot among the 9% interested segment, measuring actual sign-up and payment, not stated interest.
- In parallel, test whether effort spent on battery or durability improvements moves purchase intent more, since those are the stated drivers.
- Set a kill criterion in advance so the decision isn't relitigated on enthusiasm.
This converts a debate into a bounded experiment with a decision rule, and it protects the roadmap from being shaped by two executives' personal usage.
3. How should the team communicate the recommendation to leadership without simply saying no?
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Frame it as sequencing and risk, not rejection:
- Acknowledge the strategic need for a growth story and validate the instinct behind the feature.
- Present the evidence plainly: top drivers are battery and durability; coaching interest is 9% and concentrated in the top tier.
- Offer a reframe: coaching as a premium-tier retention play with a defined pilot and success metrics, funded at pilot scale, not full roadmap scale.
- Recommend that the primary growth investment go where the purchase-driver data points, with the coaching pilot running alongside as an option.
This gives leadership a path to say yes to something, keeps the relationship intact, and ties the decision to the customer data rather than to who championed the idea.