I jumped straight into engagement metrics and kind of forgot to frame why the 24-hour limit exists in the first place.
Start by clarifying the goal of the change—whether it's to increase engagement, retention, or monetization—and then structure your answer around a north-star metric with guardrail metrics. Use a hypothesis-driven approach: propose how extending the window might affect user behavior, then identify metrics that would validate or refute that hypothesis across the user journey.
Pro tip: Anchor your metrics to Instagram's business model: time spent, ad impressions, and creator/business value. Also mention that you'd run an A/B test with a long enough duration to capture novelty effects and measure long-term retention.
Ask what problem we're solving: Is it to reduce content pressure, increase evergreen engagement, or boost creator retention? The goal determines which metrics matter most.
Identify a north-star metric (e.g., daily active users, time spent) and supporting metrics (e.g., story views, completion rate, creation rate) that directly reflect the desired outcome.
Hypothesize how extending the window affects viewer and creator behavior: more views on older stories, increased creation, or potential clutter. List metrics for each behavior.
Consider potential negative effects: decreased urgency leading to fewer daily active users, ad revenue impact, or privacy concerns. Define guardrails like DAU, ad impressions, and user reports.
Propose an experiment with a control and treatment group, measuring both short-term and long-term effects. Include sample size, duration, and success criteria.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.