Before you start
A compact reasoning spine
- 1Define the user or business value before choosing a metric.
- 2Separate the primary outcome from drivers, diagnostics, and guardrails.
- 3Segment the signal before trusting an aggregate movement.
- 4Connect the metric evidence to a concrete next decision.
This is starting structure, not a model answer. The scenario and follow-ups stay unseen until you begin.
What feedback actually checks
Mode-specific practice rubric
Outcome definition
Clarifies what user or business value the product is supposed to create before choosing metrics.
Metric hierarchy
Chooses a primary outcome, supporting drivers, and guardrails rather than a flat list of KPIs.
Segmentation
Checks whether averages hide meaningful behavior differences across cohorts or contexts.
Diagnosis logic
Uses metric relationships and evidence to narrow causes rather than guessing from one chart.
Decision rule
Explains what metric movement would trigger an action, rollback, or deeper investigation.
Metric communication
Explains the hierarchy and diagnosis in a compact sequence that avoids metric dumping.
Each dimension receives a visible 0–3 practice signal after the round. It is not a hiring prediction or a company interview scorecard.