Reviews Insights
Turning enterprise-scale review data into clear, actionable intelligence
Overview
Enterprise brands generate thousands of customer reviews across locations, platforms, and time periods. While the data is rich, interpreting it at scale is difficult. Teams often rely on sentiment-only reporting or manual analysis, making it hard to identify trends, benchmark performance, or understand whether actions are driving meaningful improvement.
Reviews Insights was built to close this gap by helping teams move from raw review data to clear, trustworthy insights that support confident decision-making.
Solution
Reviews Insights is an AI-powered capability that helps enterprise teams identify meaningful patterns, trends, and performance drivers across large volumes of customer reviews. Rather than surfacing more data, the focus is on sensemaking — helping teams understand how feedback evolves over time, what is driving those changes, and whether actions are having measurable impact.
Role & Scope
I led Reviews Insights end-to-end, spanning discovery, experience strategy, and validation within a complex enterprise platform. The work required close collaboration with Product, Engineering, Research, and Design Systems to deliver an AI-powered sensemaking experience at scale.
Design Focus
The work was guided by principles shaped by enterprise needs and real-world constraints:
- Interpretability over automation - Insights needed to be explainable to earn trust.
- Context before conclusions - Benchmarks and trends mattered more than isolated metrics.
- Trends over snapshots - Value came from understanding change over time.
- Clarity at scale - The experience needed to work across hundreds or thousands of locations.
Outcomes
- Enabled teams to move from manual review reporting to decision-ready insights.
- Supported adoption across hundreds of businesses and thousands of users.
- Helped unblock renewal and expansion conversations by making review performance easier to interpret and communicate.
Key Learnings
Designing AI-powered insights reinforced that value comes less from surfacing more data and more from helping teams interpret patterns with confidence. Trust, clarity, and continuity proved essential when insights informed high-stakes decisions.
About This Case Study
Due to NDA constraints, detailed research findings, design explorations, and final interfaces are not shared publicly.
The full case study is available via password. If you’d like access, feel free to reach out at sehgal.naman@gmail.com.