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A preview from our curated question bank. The generator produces fresh, AI-tailored questions on each run.
What is the difference between a product roadmap and a product backlog?
Tip: Roadmap: high-level, time-bound plan showing themes and initiatives for the next 3-12 months — for stakeholder communication. Backlog: prioritised list of specific tasks (user stories, bugs, tech debt) — for the engineering team.
How do you prioritise features? Explain the RICE framework.
Tip: RICE = (Reach x Impact x Confidence) / Effort. Reach: users in a time period. Impact: how much it moves the metric. Confidence: how sure you are (%). Effort: person-weeks. Compare features by RICE score to remove gut-feel bias.
What is a North Star metric? How do you identify the right one for a product?
Tip: A North Star metric captures the core value delivered to users — not revenue (a lagging indicator), but the activity that drives revenue. Examples: Spotify's monthly listening time, Airbnb's nights booked. It must be measurable, actionable, and reflect genuine user value.
How would you design a feature to improve 30-day user retention for a B2C app?
Tip: First define the problem: where in the retention curve is the drop-off? Analyse cohorts. Identify the 'aha moment' that correlates with retention. Build towards that moment faster (onboarding optimisation, progress tracking, notifications). A/B test. Measure day-7 retention as a leading indicator.
What is A/B testing? How do you determine if a result is statistically significant?
Tip: A/B test: randomly split users into control (A) and variant (B), measure a metric for each. Statistical significance (p < 0.05) means the result is unlikely by chance. Practical significance matters too. Power analysis determines sample size needed.
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