Chat & Ask

On this page

Ask is the interactive way into your data. Instead of reading every transcript, you put questions to a set of conversations and get answers grounded in what people actually said, with the sources cited so you can check them.

Treat it as a deep-dive, not a one-shot search:

  1. Start broad - “What are the main themes?”
  2. Zoom in - “What concerns came up about the bike lanes?”
  3. Ask for evidence - “Show me the quotes.”

It’s best for comparing viewpoints, finding quotes, and testing a hunch.

One question bar

Note

The new Ask experience is live on dembrane next and reaches production with the next release.

Click Ask question in a project and Ask opens as a home for all your chats, with one input: Where would you like to start? Press Enter and your question becomes a new chat; typing in the same bar also filters your earlier chats, so it finds an old thread as easily as it starts a new one. A Templates menu inserts a saved prompt.

The assistant works in steps: it searches conversations, reads transcripts, and chains what it finds to answer harder questions (“find every conversation where someone disagreed with the proposal and tell me why”). While it works you see its progress step by step, and a Stop control replaces Send so you can halt a run that’s going the wrong way. Answers cite their sources by name - “Maria’s conversation”, “Maria’s transcript excerpt” - and each link jumps to the exact place in the transcript.

The classic chat: Specific Details

Prefer to pick the conversations yourself? One click on Prefer the old chat? Start a Specific Details chat starts a classic chat: you choose the conversations (or select all), optionally filtering by tag, and answers come back in one pass with exact quotes and citations. Best when every answer should come from the same fixed set: one session, one cohort, exact wording. If you’re already viewing one conversation when you start, it’s selected for you.

The old Overview mode has been retired: its job - themes and patterns across all conversations - is covered by simply asking the assistant.

More than analysis

Beyond answering questions, the assistant can:

Hosts steer it with standing guidance too: the project context field, and a workspace-wide assistant context in workspace settings that reaches every project chat in the workspace.

Cited sources

Every answer lists the conversations it drew on. Click through to read a source in full on its conversation page. If a claim matters, open the source and confirm it in the participant’s own words.

Tip

When pulling quotes for a report, copy them from the cited source, not from the chat answer - that way you’re quoting the transcript, not a paraphrase.

Templates & the prompt library

You don’t have to write every prompt from scratch:

Templates keep analysis consistent across projects and colleagues.

Tip

Start small - a chat almost always gives more than you asked for. Sometimes that's a useful nudge; often you don't need it.

What you need

Ask needs the chat:use permission, so owner, admin, member and external can use it; observer collaborators are read-only (see roles & permissions).

The built-in analysis behind Ask is a Changemaker (€75/seat) and Guardian (€150/seat) feature, running on EU-hosted Gemini - chat that works out of the box. On Free it’s limited. On Innovator (€20/seat) you bring your own model instead: the chat screen becomes an integration where you connect ChatGPT or Claude over MCP (coming soon). See tiers & billing.

Chat vs library vs reports

Three tools turn conversations into understanding, for different moments:

Most teams use all three: explore with Ask, see the landscape in the library, publish a report.

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