NPS Driver Analysis
Chain Open-End Coding and Key Driver Analysis to find exactly what's moving your Net Promoter Score — entirely in your browser.
The two-step workflow
Step 1 — Code your verbatims
Use Open-End Coder to automatically categorise promoter and detractor verbatims. Export the coded dataset with theme flags as new columns.
Step 2 — Find the drivers
Feed the coded dataset into Key Driver Analysis. Use NPS (0–10 scale) as your outcome variable and your theme flags as predictors. The output shows which themes have the highest relative importance.
Why browser-native matters for NPS
No DPA required
Respondent verbatims are PII. Running analysis in-browser means they never leave your device — no data processing agreement needed.
Faster than Excel + AI prompts
The manual workflow — export, paste into GPT, recode in Excel — takes hours. Open-End Coder automates the coding in under a minute.
Statistically rigorous
Key Driver Analysis uses standardised regression coefficients, not just correlation. The relative importance scores are defensible in a client deck.