45-minute mock plan
- 5 minutes: choose one product case and write the business decision at the top of the page.
- 10 minutes: answer out loud without notes. Record only the opener, metric cuts, recommendation, and caveat.
- 10 minutes: rewrite the opener so it starts with the decision and the metric grain.
- 10 minutes: answer the follow-up: what would change your recommendation?
- 10 minutes: repeat the answer once, faster, with fewer charts and a clearer operating call.
Mock prompt
A marketplace product has strong signup growth from a new channel, but week-two retained users are flat. The PM asks whether to double spend on that channel. What metric view do you build first, and what do you recommend?
Answer shape
- Start with the decision: keep spend flat, double spend, narrow spend to a segment, or pause until quality is proven.
- Define the grain before diagnosing: one row per user, signup, seller, buyer, session, order, or week-two cohort.
- Cut the channel by intent, first successful action, acquisition cost, role, geography, and week-one activation.
- Separate growth from quality. More signups do not matter if the channel brings low-intent users who never reach the marketplace action that predicts retention.
- End with one recommendation, one risk, and one metric that would change your mind.
What to avoid
- Do not recommend more spend because signups are up.
- Do not skip retention definition, eligibility, or cohort timing.
- Do not hide behind "more data needed" without naming the next cut.
- Do not treat SQL as separate from product judgment. The query should prove or disprove the business call.
Where the packet helps
The Product Analytics packet adds worked answers, follow-up challenges, IC5 vs Staff+ comparisons, metric architecture templates, and an AI-native practice setup you can run against your own sanitized projects.
Healthcare or insurance SQL?
If the screen mentions claims, providers, billed amount, paid amount, or rejection rates, run the healthcare claims SQL rep before this broader mock plan.
Direct purchase note
This is the public $59 self-guided packet path. If a coaching or mock-interview session already gave you access, use that access instead of buying the same packet again.
Need a 24-hour prep decision?
Run the self-check to choose the next rep from the real risk in your loop: SQL/OA, product case, metric debugging, or leadership story.
Public checkout is for self-guided packet buyers.
If a coaching, mock-interview, or private session already gave you packet access, use that private access and do not buy the same packet again. The public $59 checkout is for candidates buying the self-guided Product Analytics or Leadership packet directly.
Use Product Analytics for SQL, metrics, experiments, and product cases. Use Leadership for conflict, failure, ambiguity, influence, and final-round stories.
Run one timed rep before checkout.
Pick the risk you can fix today. Do the rep, then buy the packet only if it matches the round in front of you.
- SQL or OA: say the row grain first, solve one baseline query, then name the edge case that could break it.
- Product case: start with the decision, then give the metric view, segment, risk, and recommendation.
- Leadership loop: choose one conflict, failure, or ambiguity story and name the operating change you owned.
Last-mile check: pick the packet for the round you could lose.
Use the rep on this page first. If the weak spot is SQL, metrics, experiments, or product cases, get Product Analytics. If the weak spot is conflict, ambiguity, or final-round stories, get Leadership. Public checkout is $59 and separate from any private session access.