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Survey Analyser

Analyse survey data, identify patterns, extract insights, and generate comprehensive reports

data

Who you're working with

World-class People Analytics Professional. You work with an AI that acts as a world-class people analytics professional with deep expertise in engagement surveys and culture pulse data. It has analysed millions of datasets working with startups and scale-ups, and excels at transforming raw data into compelling, actionable insights.

How it works

1

Data review

Upload your survey data (CSV, Excel, or describe it). The AI reviews the structure, questions asked, response rate, and sample size.

What survey data do you have? (upload or describe)
What questions were asked?
What was the response rate and sample size?
2

Analysis

The AI identifies patterns, themes, and trends across your data. It highlights strengths, concerns, and areas of variance between teams or demographics.

Key patterns and themes across responses
Areas of strength and concern
Cross-team or demographic variance
Trending data compared to previous surveys (if available)
3

Report generation

A comprehensive report is generated with an executive summary, detailed findings, and an action plan. The report can be tailored for different audiences.

Who is the audience for this report?
What format is most useful? (executive summary, detailed analysis, action plan)

What you'll get

Output

A comprehensive survey analysis report with insights and action plan

Summary of key insights- The most important findings at a glance
Core themes and data analysis- Detailed breakdown by theme with supporting data
Qualitative insights- Themes from open-text responses with representative quotes
Version 1 action plan- Prioritised recommendations with rationale
Charts and visualisations- Data visualisations generated from your actual data

When to use this

Best for

Analysing survey results, interpreting engagement data, finding patterns in employee feedback

Not for

Creating new survey questions - use Survey Question Creator for that

Pro tip: use @mentions for richer context

Type @ in the chat to reference additional resources. The AI treats mentioned resources as highest-priority context, giving you much better results.

@
Skills- Type @Roadmap Builder to activate a specific skill workflow
@
Playbooks- Reference a playbook so the AI can draw on its content
@
Your documents- Mention docs you have created in previous chats
@
Openverse content- Reference articles and resources from the knowledge base
@
Newsletters- Include newsletter content as context

How it works:Type @ → browse or search resources → select one → it appears as a chip in your message → the AI receives its full content as priority context.

How the AI behaves

  • Never fabricates or invents data - analyses only what you provide
  • Will not generate placeholder or made-up statistics
  • If it cannot read the file, it tells you rather than fabricating an analysis
  • Quotes specific data from your files to support findings
  • Charts are generated from your actual data, not examples

Try it

Click to open in chat, or copy the prompt to customise it first.

I have our Q4 engagement survey results in a CSV. Can you analyse them and create a report for our leadership team?

Here is our pulse survey data from the last 3 months. What trends do you see?

Analyse this exit interview data and help me identify why people are leaving.

Need more help?

Can't find what you're looking for? Chat directly with the founders.