The rating range is weirdly wide and I spent too long trying to figure out if that was intentional.
Start by clarifying the goal: improving the average rating, not just increasing the number of reviews. Then diagnose the root causes of low ratings by analyzing review content, user segments, and app store metrics, and prioritize fixes based on impact and effort. Finally, propose a test-and-learn plan to implement improvements and measure their effect on ratings.
Pro tip: Don't just focus on getting more 5-star reviews; focus on fixing the underlying product issues that cause low ratings, as that will sustainably improve the average. Also, consider that ratings are often driven by a small subset of users, so segmenting by user type (e.g., parents vs. kids) can reveal actionable insights.
Confirm that the objective is to increase the average rating (e.g., from 3-5 to 4+), and understand any constraints like budget, team size, or platform policies. Ask if there are specific timelines or targets.
Analyze recent reviews, ratings distribution, and user feedback to identify common complaints (e.g., crashes, content issues, usability). Segment by user demographics, device type, and usage patterns to find patterns.
Use a prioritization framework (e.g., impact vs. effort) to select the most critical issues to address. Consider quick wins (e.g., bug fixes) and longer-term enhancements (e.g., new features).
Roll out fixes in phases, using A/B testing where possible. Monitor changes in ratings and user sentiment through in-app prompts and review analysis.
Track the average rating over time, along with leading indicators like crash rates, session length, and review sentiment. Iterate based on results and continue to engage with user feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.