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Talk with Data is a chat on top of your results. You write what you want to understand, and the AI builds the analysis behind the scenes, on every response collected in the study. It is not a search box: it is a conversation you can pick up, branch and archive.

The workspace

New chat

Start a fresh conversation when you change topic, so the context stays clean.

History

Every conversation stays in the project. Reopen it, re-read it, keep going.

Archived

Move conversations you are done with out of the way without deleting them.

Add to report

Every answer carries a button that sends it into the AI Report.

Two modes

You pick the mode before you ask, and you can switch between them in the same workspace.
The AI answers in plain language: summaries, reasons, recurring themes, differences between groups explained in words. Use it for exploration and for the first read of the data.
Explore in conversational mode until you have a hypothesis, then re-ask the same question in scientific mode to find out whether the difference you saw is significant.

Reading an answer

Each answer comes with two things around it:
  • Question chips — the codes of the questions the answer is based on, for example Q1_AGE or SQ_CUSTOMER. They tell you exactly which data the AI used.
  • Suggested follow-ups — deeper questions you can ask next with one click, to keep the thread going instead of starting over.

Example questions

  • “Why are people abandoning checkout? Give me the three most common reasons.”
  • “Who is most satisfied with the new packaging, and who is least?”
  • “On Q5, do men and women answer differently?”
  • “What keeps coming up in the open-ended answers that I didn’t ask about?”
  • “Summarize the study in ten points for tomorrow’s meeting.”

From chat to report

When an answer is worth keeping, click Add to report: it lands in the AI Report, where you can edit it, reorder it and export it. That is how an exploration becomes a deliverable without copying and pasting.

Excel files in the conversation

You can upload an .xlsx file and ask the AI to read it, interpret it and work on it: summaries, comparisons, analyses or explanations, without preparing the data by hand in other tools.

Next steps

AI Report

Edit the document that collects your insights and export it.

Sharing results

Open Talk with Data to external stakeholders through a public link.