Practice · 40 scenarios

PM Drills.

A situation, a question, and a way to reason through it. Take 30 seconds to 2 minutes. Think before you scroll.

  1. 01

    Product judgment

    The export request

    A customer wants a CSV button. The real need is still unclear.

  2. 02

    Product judgment

    The buyer’s dashboard

    A buyer asks for visibility that daily users may resist.

  3. 03

    Product judgment

    The silent interview

    Five interviewees approve an idea but show no recent need.

  4. 04

    Product judgment

    The oversized MVP

    A small launch still avoids the most important risk.

  5. 05

    Product judgment

    The one-customer bet

    A large renewal competes with work that benefits many accounts.

  6. 06

    Product judgment

    The busier home screen

    More discovery options make the first useful action harder to find.

  7. 07

    Product judgment

    The tiny opportunity

    A loud complaint may describe a rare, low-cost problem.

  8. 08

    Technical decisions

    The slow upstream API

    A dependency cannot respond within the interactive time budget.

  9. 09

    Technical decisions

    The hidden admin button

    The interface hides an action but the backend still accepts it.

  10. 10

    Technical decisions

    The duplicate order

    A timeout leaves the final outcome uncertain.

  11. 11

    Technical decisions

    The stale price

    A cached page and checkout disagree.

  12. 12

    Technical decisions

    The second owner

    A new relationship affects more than one screen.

  13. 13

    Technical decisions

    The green deployment

    Automated checks pass while a real workflow fails.

  14. 14

    Technical decisions

    The scaling proposal

    More services are proposed before the bottleneck is measured.

  15. 15

    Data interpretation

    More minutes, fewer returns

    A hypothetical listening experiment produces conflicting signals.

  16. 16

    Data interpretation

    The post-release drop

    Timing suggests a cause but does not prove it.

  17. 17

    Data interpretation

    The conversion paradox

    The overall rate drops while each platform improves.

  18. 18

    Data interpretation

    The early experiment winner

    A one-day lead may not justify a launch.

  19. 19

    Data interpretation

    Activation by force

    A metric improves because the product performs the action for users.

  20. 20

    Data interpretation

    The doubled purchase event

    Analytics and financial records tell different stories.

  21. 21

    Data interpretation

    The customer survey blind spot

    Happy active users do not represent everyone who tried the product.

  22. 22

    AI decisions

    Ninety-two percent correct

    An aggregate accuracy score does not settle acceptability.

  23. 23

    AI decisions

    The AI spreadsheet converter

    The transformation rules are already fully specified.

  24. 24

    AI decisions

    The trustworthy-looking citation

    A source link exists but does not justify the answer.

  25. 25

    AI decisions

    The smaller model

    Lower cost per call may increase cost per useful result.

  26. 26

    AI decisions

    The agent that keeps trying

    Repeated tool calls increase cost without making progress.

  27. 27

    AI decisions

    The approval conveyor belt

    Human review exists but reviewers cannot assess the action.

  28. 28

    AI decisions

    Instructions inside the document

    Retrieved text tries to redirect the assistant's actions.

  29. 29

    Execution

    Five days to launch

    A manual path can meet the date if its operating limits are real.

  30. 30

    Execution

    The partial import

    A bulk operation succeeds for most records and fails for some.

  31. 31

    Execution

    The vendor dependency

    A nearly finished interface is blocked by missing external access.

  32. 32

    Execution

    The flag that stayed forever

    A temporary rollout control becomes permanent complexity.

  33. 33

    Execution

    The support surprise

    The release is technically ready but operationally unprepared.

  34. 34

    Execution

    The incident blame

    An individual mistake is offered as the entire explanation.

  35. 35

    Communication

    The buried recommendation

    A detailed update leaves the decision unclear.

  36. 36

    Communication

    The estimate disagreement

    A technical estimate conflicts with an earlier stakeholder expectation.

  37. 37

    Communication

    The design opinion

    Feedback names a preferred arrangement without explaining the concern.

  38. 38

    Communication

    The confident date

    A roadmap exploration is being repeated as a launch commitment.

  39. 39

    Communication

    The technical headline

    A true metric does not yet explain customer impact.

  40. 40

    Communication

    The sophisticated option

    A general platform sounds attractive before demand is established.