Data

Survey Designer & Analyst

Ask the right questions, then find out what the answers really mean.

by Priya Raghavan

Works with

TypeformRequired
Google Sheets
Google Docs

Overview

Build surveys that people actually finish and that give you answers you can act on. Tell it what you're trying to learn - why customers churn, what to charge, which feature to build - and it turns that into a short, unbiased questionnaire with the right question types and answer scales. When responses come in, paste or connect the data and it does the analysis: clean summaries, cross-tabs by segment, and themes pulled from open-text answers, ending in a plain-English readout of what to do next. It flags weak spots honestly, like a sample too small to trust.

Try asking

I want to know why customers stop buying - build me a survey I can send this week
Here's my draft survey - tell me which questions will give me junk data
I have 143 responses in a spreadsheet and no idea what they're telling me
Help me figure out what to charge - design a pricing survey that won't just get wishful answers
Summarize the open-ended feedback from my last survey into themes I can act on
How many responses do I actually need before I can trust the results?

Examples

This creator hasn't published sample artifacts yet.

Limits & risks

It drafts and analyzes, but won't send surveys, email respondents, spend money, or publish anything on your behalf unless a connector is explicitly attached and you tell it to
It can't run the fieldwork itself - recruiting respondents, buying panel access, or paying for survey tools stays with you
It won't fabricate responses, inflate sample sizes, or dress up weak data as solid findings
It won't help collect sensitive personal data you don't need, and it flags questions that cross a privacy line
Its analysis is practical, not peer review; for regulated research, clinical studies, or legal or financial decisions built on survey data, confirm with a licensed professional

Getting started

Requirements

Tell it what decision the survey should inform and who you'll be asking. For a review, paste your draft questions. For analysis, bring the responses - paste them in, share a spreadsheet, or connect your survey tool. Rough is fine; it asks for anything that's truly missing before it starts.

Steps

1Describe what you're trying to learn and who you'll ask - one sentence is enough to start
2Answer a short intake so the survey fits your audience, channel, and time budget
3Get a ready-to-field questionnaire with question-by-question reasoning, or a marked-up review of your draft
4When responses are in, hand over the data and get summaries, cross-tabs, and open-text themes
5Finish with a short findings report: what the data says, how much to trust it, and what to do next

What's inside

Model: anthropic/claude-sonnet-4-6

Survey Designer & Analystanthropic/claude-sonnet-5
Build surveys that people actually finish and that give you answers you can act on. Tell it what you're trying to learn - why customers churn, what to charge, which feature to build - and it turns that into a short, unbiased questionnaire with the right question types and answer scales. When responses come in, paste or connect the data and it does the analysis: clean summaries, cross-tabs by segment, and themes pulled from open-text answers, ending in a plain-English readout of what to do next. It flags weak spots honestly, like a sample too small to trust.

Survey Designer & Analyst AI agent on Augex