Interview
Ask participants whether the strongest assumption is real.
AI Focus Group
AI Focus Group for evidence-led scenario rehearsal
Use MiroFish when moderated synthetic discussion before recruiting depends on participants, moderator, and themes reacting differently. Bring seed material for participants, run reaction rounds around moderator, and review themes changes as decision support, not a guaranteed prediction.
Operating facts
Keep participants and moderator limits visible before opening the console.
Participants workflowSeed material and graph context let participants and moderator react inside a bounded MiroFish world.
Moderator boundaryTreat moderator reactions as decision support, not as a guaranteed prediction.
Useful inputThe first useful run needs participants, moderator, themes, timing, constraints, and the strongest contrary signal.
Scenario readiness check
Check whether the participants brief is ready for a MiroFish run around moderated synthetic discussion before recruiting.
Use this quick tool before opening the console for participants and moderator. A strong first run names themes, the pressure point, a review owner, and one outside validation move.
Preparation detail
Give participants enough context to produce a useful disagreement.
For moderated synthetic discussion before recruiting, begin with the moment when participants can change the path. Add what moderator already knows, what themes might ignore, and which constraint would make the decision reversible. A narrow participants brief helps the report produce disagreement you can inspect instead of a smooth moderator story that feels confident but cannot guide the next action.
Use concrete material from participants, moderator, themes, timing, constraints, and the strongest contrary signal and label the parts that are still weak. If the participants note is old, the moderator move is speculative, the themes source is ambiguous, or the signal came from a small sample, say that directly. MiroFish can then keep strong evidence separate from convenient assumptions while it builds reaction rounds.
Before acting, compare the report with moderator changing the interpretation of moderated synthetic discussion before recruiting and then check participants against themes before treating the branch as useful. That outside check for themes should be small enough to complete quickly: one customer call, one support search, one analytics pull, one expert read, or one revised prompt with a single changed condition. The point of the first run is to improve judgment, not to outsource it.
MiroFish uses seed material from the brief to keep participants, moderator, and themes anchored to the same facts. For moderated synthetic discussion before recruiting, that means the report should show which claim each actor accepted, which claim each actor resisted, and which missing detail changed the branch. If the report cannot name those links, improve the input before spending attention on a larger run.
Notebook prompt: ask participants what would make moderated synthetic discussion before recruiting feel urgent, ask moderator what proof would be dismissed, and ask themes which missing fact would reverse the branch. Then record the exact participants sentence in the report that changed your confidence. If no sentence changes confidence, the next move is not a bigger run; it is a better source packet, a narrower actor list, or a validation check outside the tool.
Participants brief naming
Sharpen the ai focus group brief before the run starts.
The ai focus group run should stay tied to one decision boundary, one source packet, and one validation owner. Use AI moderated focus group, AI research focus group, and AI validation focus group as working handles so participants, moderator, and themes review the same scenario from different angles.
AI moderated focus group: baselineUse AI moderated focus group for the branch where the expected story still holds around moderated synthetic discussion before recruiting.
AI research focus group: resistanceUse AI research focus group when signals from moderator change the interpretation or expose a weak assumption.
AI validation focus group: validationUse AI validation focus group for the outside check that tests whether themes would change the next move.
During review, keep AI moderated focus group in branch notes, AI research focus group in evidence notes, and AI validation focus group in validation notes. The next rerun should use the same actors, the same evidence boundary, one changed condition, and a clearer reason to continue or stop.
Scenario angle
The useful question is where moderated synthetic discussion before recruiting breaks.
This page is worth its own route because the reader needs a bounded rehearsal around participants, moderator, themes. Start by asking which role can change the story first, then keep that role visible through the report review.
Validation plan
Turn output into real checks.
Evidence pull
Refresh facts that may have changed since the source packet was written.
Rerun
Change one assumption around moderated synthetic discussion before recruiting and compare the new branch map with the original.
Failure modes
Reject weak runs before they waste attention.
Vague actors
If everyone is the audience, nobody has a useful incentive.
Missing evidence
If the source packet is empty, the result becomes generic.
False certainty
If the output sounds final, rewrite the decision as a branch.
Evidence choice
Pick source material that can be challenged later.
The first run should include participants, moderator, themes, timing, constraints, and the strongest contrary signal. If a source is old, ambiguous, or politically loaded, mark it before opening the console so the report does not treat a weak claim as settled.
First run
Copy a bounded brief into MiroFish.
Run this scenario with the source packet, the decision boundary, the actor roles, known objections, and the signals that would change the conclusion. Return reaction branches, weak assumptions, and one validation plan. Do not treat the report as a guaranteed outcome.
Workflow
Move from brief to review in four deliberate steps.
Frame moderatedFrame moderated synthetic discussion before recruiting with one decision boundary.
Build anBuild an actor graph for Participants, Moderator, Themes.
Run reactionRun reaction rounds and watch for moderator changing the interpretation of moderated synthetic discussion before recruiting.
Question theQuestion the report and check participants against themes before treating the branch as useful.
Outside check
Leave with one verification move, not a pile of guesses.
The best next step after the first report is to check participants against themes before treating the branch as useful. That keeps the simulation useful without pretending it measured the real world.
Direct answer
Use this when the question depends on reactions, not only facts.
This workflow fits MiroFish when moderated synthetic discussion before recruiting could be changed by participants, moderator, or themes. The useful result is a branch map with weak assumptions and the next outside check, not a single confident verdict.
Review owner
Name the person who can say the branch is weak.
Before using the output, assign one reviewer to challenge participants, one to challenge moderator, and one to decide whether themes changes the next action.
FAQ
AI Focus Group FAQ
What should I prepare for ai focus group?
Prepare the decision boundary, source notes, actor roles, known objections, timing, and the signals that would change the result.
Can ai focus group replace real evidence?
No. Use it to generate hypotheses, pressure points, and validation questions, then confirm important claims with real data or accountable review.
What does MiroFish return?
A structured report with reaction paths, weak assumptions, evidence gaps, and follow-up questions you can challenge.
When should I rerun it?
Rerun after changing one important assumption, such as the actor list, timing window, evidence strength, or public message.
Next paths