Start by reframing the question: engagement without business value is a signal to dig deeper, not an automatic cut. Evaluate the feature's strategic alignment, potential to drive monetization or retention, and opportunity cost, then propose a path to either iterate toward measurable value or sunset it gracefully.
Pro tip: At Duolingo, where gamification and user delight are core, don't dismiss engagement—but tie it to the company's north star metrics like DAU, retention, or conversion. Show you can balance user love with business pragmatism by suggesting experiments to bridge the gap.
Identify which business metrics matter most (e.g., revenue, retention, conversion) and confirm that the feature truly shows no impact on any of them. Consider leading indicators and long-term effects.
Evaluate whether the feature aligns with Duolingo's mission and roadmap, and what resources it consumes. Compare its potential against other initiatives that could drive more value.
Brainstorm ways to connect the feature to business value—e.g., adding premium features, ads, or using it to boost retention. Propose A/B tests to measure impact.
Based on analysis, decide to keep, iterate, or cut. If cutting, plan a graceful sunset that communicates with users and minimizes backlash.
Share the decision and rationale with stakeholders, and document learnings to improve future feature evaluations.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.