This scenario trips up even senior candidates because it sounds like a product problem but it's really a prioritization problem.
You're the PM for a mid-market B2B analytics platform.
Think Mixpanel or Amplitude.
Your product is growing, your enterprise pipeline is strong, and your eng team is finally hitting their stride.
Then three things land on your desk at the same time.
1️⃣ A power user posts a scathing thread on X about a 3-year-old missing feature. It goes semi-viral in your niche. 200 reposts, mostly from your ICP.
2️⃣ Your sales team forwards you 6 lost deals from the past month where the same feature gap came up in the sales call.
3️⃣ And your biggest enterprise customer, 30% of ARR, submits a formal feature request through their CSM, marked urgent.
They're all asking for different things. But your roadmap is locked for the quarter. And your VP of Product wants to know how you're responding, by end of day.
You have one eng sprint of discretionary capacity.
HERE'S WHAT'S ON THE TABLE
A) Patch and Ship Scope the smallest version of the most-requested missing feature that would satisfy the enterprise customer and close future deals, build it this sprint, ship it fast, and use it as a sales asset.
Bet: revenue risk is the most urgent signal here. A fast, imperfect answer beats a perfect answer in 3 months
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B) Listen First, Then Build Before committing the sprint, run rapid discovery calls with the 6 churned prospects and the enterprise customer to align on what "the feature" actually needs to do.
Bet: what sales heard and what customers actually need are different, and building the wrong thing fast is worse than a short delay to get it right.
C) Protect the Roadmap Communicate clearly to all three stakeholders why the roadmap stays locked, offer a public commitment to a future release date, and use the sprint on what was already planned.
Bet: reactive product decisions compound over time. One loud moment shouldn't derail a strategy built on broader data.
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Here's what I want to see in your answer:
Which option do you pick, and why?
What's the one assumption your entire decision rests on?
What would you measure in the first 30 days to know if it's working?
Drop your answers below 👇