Agent context
Typeform models
3 SQL models that turn the raw Typeform tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions behind every number.
How the set is built
- 6Raw tables
- 6Staging
- 3Core
- 3Analytics
Staging cleans each raw table once, core holds the logic, and analytics is the table dashboards and agents read.
- Answer detailEvery answer to every question, in long format, with choice answers unnested.grain: typeform_account x response x question x selected choice · 5 raw tables
- Response volumeSubmitted responses per form per day, with time to complete.grain: day x typeform_account x form · 2 raw tables
- Score summaryNPS, average score and top-two-box (CSAT-style) per scale question per month.grain: month x typeform_account x form x question · 5 raw tables
- Weld or dbt
- The same SQL in both dialects. Sync the folder with GitHub Sync, or copy the dbt models into your project.
- Check before you rely on it
- Reconcile a month against Typeform's own reports first. Each model's notes say what the synced data can and can't support.
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