Turning customer feedback into product decisions
Synopsis uses AI to analyze customer feedback (reviews, surveys, social media, customer service) and turn it into prioritized pain points and a living customer journey. I co-founded the company and owned everything product, from the first interview to signed contracts.
What I owned
- User research
- Product strategy and roadmap prioritization
- Software design
- Building the commercial offers
- Driving marketing and sales
On the data side
Synopsis taught me to handle data at scale. Hundreds of thousands of feedbacks from very different sources, to collect, clean, classify by topic and emotion, then turn into reports and trends: which pain points are rising, which ones drop after an action, which weak signals appear before they become a problem. I designed those reports with the e-commerce and customer experience leaders who used them every month.
On the AI side
Synopsis was my first AI-based product, built on the models of the time (GPT-3, GPT-4, Gemini Flash). We evaluated quality ourselves: several models compared on a few hundred hand-tagged examples. To earn our clients' trust, we calibrated on an extract of their own data that they had tagged themselves: the comparison spoke for itself. AI also shaped the strategy: splitting long interviews into relevant verbatims remained too fragile, so we gradually pivoted from UX teams to marketing teams and their surveys, short texts the machine handled well.
Since 2025, Synopsis has been running at a slower pace: of the three co-founders, I am the only one still active, and I keep delivering feedback analysis for our automotive client, at about 5% of my time.
Two clients, under NDA
International automotive group
Analyzed 150,000 customer feedbacks from the sales websites of more than ten brands, for the e-commerce leadership.
- Verbatim reports: 1 week → 2 hours
- Customer satisfaction: +10% in 6 months on NPS
Luxury house, global group
Analyzed 250,000 feedbacks across social media, blogs and forums, for the Customer Experience leadership.
- Engagement measured after every launch
- Monitoring of weak signals and competitors
“We wanted to separate usability issues, technical issues and business issues in our customers' feedback. With Synopsis it is simple, and we also see how each one evolves over time. Everything is automated.”