Analyse survey responses honestly: what the data supports, segment differences worth believing, open-text themes, and the biases to disclose.
Analyse these survey results: {{data}} (response counts, scale results, open-text answers, who was surveyed and how).
Produce: headline findings the sample size actually supports (with n for every claim — kill any finding riding on 7 responses), segment differences worth believing vs noise, open-text themes with representative quotes (count mentions; don't let one vivid answer masquerade as a theme), the response-bias disclosure (who answers surveys vs who doesn't — how might that skew THIS result?), and the 'so what' — the 2 decisions this data informs and the 1 it can't settle without more research. Format as a shareable summary.
Fields like {{ this }} are placeholders — replace them with your own details, or let Aria ask you for them.
This prompt runs with Aria connected to your email, files, CRM and 40+ other services — and you can schedule it to run automatically.
Start Free WeekPull structured data out of messy text — emails, PDFs pastes, reports — into a clean table, with con...
Get the right Excel or Google Sheets formula for your layout — explained part by part, with a worked...
Get a structured first read of pasted data: observations with the numbers cited, trends vs noise sep...
Turn open-ended survey answers into themes and quotes.
Pick the best chart type for what you want to show.
Write or optimise a SQL query from a plain-English description of the data and the question — with t...