Relaunching Ratings & Reviews and Q&A at Bazaarvoice: 75X engagement

The problem

Bazaarvoice's ratings & reviews and Q&A displays appear on brand and retailer product pages, where they influence what shoppers buy. Both needed to move to new products without disrupting the clients relying on them — and both needed to drive far more shopper engagement.

What I did

• As Group Product Manager for UGC Display, led the migration and release of the new Ratings & Reviews and Q&A products.
• Added predictive search across R&R and Q&A so shoppers find existing answers before asking again.
• Led an AI feature that generates unique, non-plagiarised review titles and descriptions using NLP and sentiment analysis.
• Set the strategy and roadmap, and partnered with Marketing and Sales on positioning, messaging and pricing.
• Wrote the client onboarding runbook for the SWAT application and kept the knowledge base current.

Outcome

• Ratings & Reviews: 75X user engagement, 2–4X more review submissions and 35%+ organic adoption.
• Q&A: 10% organic adoption in the first month and a 25X surge in engagement.
• Predictive search: 33% more engagement and ~95% fewer duplicate questions.