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Product Sense for Data Scientists

Data & Analytics

What it tests

Ability to define metrics, design measurement approaches, and make business recommendations — not just run models

Format

  1. 1Three product scenarios: feature launch measurement, metric drop investigation, revenue vs retention trade-off
  2. 2Candidate writes responses as if replying to a PM's Slack message — clear, direct, actionable
  3. 3Evaluated on metric selection, investigation frameworks, and quality of business recommendations

What to look for

  • Do they pick the RIGHT metric or the obvious one?
  • Investigation framework: structured or random guessing?
  • Trade-off recommendation: do they commit to a position with caveats, or hedge everything?
  • Writing clarity: would a PM actually find this useful?

Adaptation guide

Replace scenarios with real product questions from your company. The Slack message format tests communication style under realistic conditions.

Full description

Format:

  1. Three product scenarios: feature launch, metric drop, revenue vs retention
  2. Write responses as PM Slack replies — clear, direct, actionable
  3. Evaluated on metric selection, frameworks, and recommendations

Time: 60 minutes

What to look for:

  • Right metric vs obvious metric
  • Structured investigation framework
  • Committed recommendations with honest caveats

Adaptation: Replace with real product questions from your company.

Use this template in NouSpark

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