[ Guide ]
What this is
actually for.
Qualitative research turned into a structured, attributed report — quickly. Here's what it's built for, and how to get a report worth paying for.
Real use cases
Running your first study
Choose self-serve or panel
Self-serve if you have your own people to ask (from £399, report on demand). Panel if you want bloc insights’ own senior marketing panel to answer instead (£5,000, 48-hour turnaround).
Write one sharp question
The best studies ask one specific, decision-relevant question — not "what do you think of our brand" but "does this positioning hold up to a senior buyer, specifically". Add context if it helps: what’s at stake, what decision this feeds into.
Get input in — write it yourself, or invite others
For self-serve: either write up responses yourself from interviews/notes you already have, or generate a shareable link and send it to team members or contacts you know. Each response captures stance, reasoning, the biggest risk, and a recommendation — not a paragraph dump.
Generate the report
Self-serve reports generate the moment you’re ready — no waiting on anyone. You get a consensus score, primary theme, key tension, an attributed risk register, and a recommended action, with every verbatim preserved.
What makes this worth paying for
The structure is the product, not the AI alone. Four required fields — stance, reasoning, risk, recommendation — force every response past a one-line reaction, so the synthesis has something real to work with. The output is a risk register attributed back to who raised each risk, a genuine consensus score, and a recommended action, not a generic summary a general-purpose AI tool would give you from a pasted transcript.
For self-serve specifically: you're paying for the structuring discipline and synthesis engine, not for sourcing respondents — that part is on you, whether that's your own notes or people you invite. If you don't have ready access to the right respondents, a panel study exists for exactly that gap.