Goal
Find out why existing users churn
RQ
At which moment do they decide to leave?
Hypothesis
Week-two notification frequency is the trigger
AI structures the design
One line of intent, and the research questions, hypotheses and items are all there.
AI drafting the study outline
Audience
✨ AIEmployees at companies with remote-work policies
Background
✨ AINeeds differ widely by job function
Hypothesis
Talking to AI…
Objective
Talking to AI…
Method
Talking to AI…
Parallel Interview
AI Interviewer · asking
“When do you feel most focused?”
“Waiting to answer”
“Early mornings on my work-from-home days…”
“Waiting to answer”
“Reviews reward whoever is most visible…”
“Waiting to answer”
“Waiting to answer”
Engineering wants fully remote, sales and managers want hybrid, HR wants a return to the office.
“For engineering roles like mine, I want fully remote to stay.”






Everyone already agrees that you should ask your users.
And yet a single study still takes one to two months and costs hundreds of thousands of yen.
Writing good questions and probing well takes real expertise — and outsourcing it means several meetings just to agree on the brief.
Design, fieldwork, analysis, reporting: one to two months. When the decision is due this week, that is too late.
Hundreds of thousands of yen per study. Every hypothesis you want to test spends budget you may not have.
Question design, probing, analysis, reporting. Four different crafts — never work that just anyone could pick up.
A study that expensive needs sign-off before it can start. “Let us just ask” was never actually an option.
So a valley opened up between what teams should do and what they can actually do —
and most of the questions quietly sank into the “later” folder.
Thirty user voices are already on the table before the decision meeting starts.
Research stops being a special project and becomes part of the working week.
RapiQ is how “we should ask” becomes “we already did”.
Classic research is a straight pipeline — design → fieldwork → analysis → reporting — handed between different people using different tools, over six weeks.
RapiQ runs all four on a single AI. One platform, where each output is directly the next input.
AI
seamless
Remove the handoffs. One platform, where each output feeds directly into the next stage.
Put the expert’s craft in everyone’s hands. AI distributes the tacit knowledge of design, probing and analysis.
Move the moment results arrive. Insight is in your hands from the second the responses land.
Results
AI runs fieldwork and analysis through the night. By morning, the summary, the key findings, the representative personas and the recommended next steps are all waiting on a single screen.
Working from the scenario you designed, an AI moderator probes one-on-one — running 100 conversations at once and building a structured transcript from every one of them.
Describe the background and the goal in a sentence. AI generates the research questions, the hypotheses and the survey items — assembling a professional researcher’s design as you talk.
Key findings, personas and recommended actions are laid out into slides automatically. Export to PDF or PPTX and share it with stakeholders on the spot.




From framing the question to proposing the next move, AI runs through all six.
Any single one changes how you research tomorrow. Click a card to look inside.
Goal
Find out why existing users churn
RQ
At which moment do they decide to leave?
Hypothesis
Week-two notification frequency is the trigger
One line of intent, and the research questions, hypotheses and items are all there.
One-on-one probing, run all at once. Recording and tagging included.
Analysis summary
A complicated application flow is holding usage down.
AI pulls out what matters, what is new and what contradicts — quote attached.
GOALS
Raise uptake of the policy and lift employee satisfaction
PAINS
A convoluted request flow; no way to hear the floor
Whole people with goals and pains, generated as a set from real clusters.
Findings through to actions, laid out automatically. Share as PPTX or PDF.
Stop the Tuesday morning notification
Redesign step 3 of onboarding
Embed a survey in the cancellation flow
“So what do we do?” answered with specific actions. Findings become motion.
Tell us about the research question you are stuck on.
In a 30-minute demo we will show you exactly what the AI runs, live.