ScoreStory

ScoreStory is an AI tool from the founders of Dutch research firm MWM2 that runs conversational customer satisfaction surveys for businesses. A customer or employee first gives a score, such as NPS, and a conversation starts right away asking what went well, what could be better and which experience shaped the rating. You learn not just what people think, but why.

How does ScoreStory work?

The method has three steps: Score, Story and Insights. You choose the metric that matters, NPS, eNPS, CSAT, CES or a custom scale, and the participant answers a single question. The AI then runs a short interview, asking follow-up questions and adapting to each answer instead of a long questionnaire. Every story is analyzed automatically for themes, patterns and emotions, and the dashboard shows the score trend next to quotes and written conclusions, so nobody has to read hundreds of open answers.

What integrations and data options does ScoreStory offer?

You can start from 40 customer and employee templates or tell its assistant, Vox, what you want to measure. Invitations go out as personal emails, shared links or scheduled mailings. There's a public REST API with an OpenAPI schema and an MCP server so Claude or ChatGPT can create surveys, invite people and read results. Data is hosted in the EU, the AI runs on Mistral inside Europe and respondents can be erased under GDPR.

Who is ScoreStory for?

• Accounting, law and consulting firms that want to understand their clients.
• Insurance brokers and staffing agencies measuring each touchpoint.
• HR teams running eNPS surveys with employees.

ScoreStory pros and cons

It adds qualitative context to every score without long questionnaires, with unlimited users per account. On the downside, it charges per participant, a fair use policy caps average interviews below 15 minutes, there are no webhooks yet and SSO is a paid add-on.