Built from assumptions, not evidence
Most personas come out of a workshop where the loudest opinion wins. Without real conversations behind them, they describe who the team wishes the customer was, not who they are.
Personas built from real conversations.
Most personas are guesses dressed up as research. Diaform conducts AI-led conversations with real customers so your team can build personas from motivations, switching triggers, and the customer's own words.
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Why most personas don't survive contact with the market
Five Zoom calls is not a sample
Even when teams do conversations, it's usually 5-10 calls with whoever picks up. The themes that emerge are biased toward the customers easiest to recruit, not the ones who matter most.
Stale within six months
Markets shift, ICPs evolve, new segments appear. Static persona decks rot fast, and nobody has the bandwidth to re-run the whole research project every quarter.
How Diaform runs persona research differently
01
AI-led JTBD conversations
The AI runs a real jobs-to-be-done conversation on every respondent, probing on motivations, the situation that triggered the search, and what they were trying to get done.
02
Captures the customer's own language
Every answer is stored verbatim. The phrases customers use to describe their problem become the headlines for your personas, and your landing pages.
03
Structured evidence from every session
Every completed conversation includes summaries, sentiment, answer confidence, optional notable quotes, and the transcript. Export the response set to code motivations and blockers across sessions.
04
Sentiment per persona group
Use identities, metadata, response sentiment, and CSV export to compare how different respondent groups describe motivations and frustration.
05
Recruit at scale via one link
Drop the link in email, in-app, or a community. Every respondent runs their own session, no scheduling, no Calendly chains, no researcher-led calls.
06
Native multilingual conversations
30+ languages. The AI runs each conversation in the customer's native language and summarizes it in English so global research feeds the same persona model.
How persona research works in Diaform
- 01
Define the personas you want to test
Start with the rough hypotheses you're holding, segments, jobs, or buyer types you want to validate or discover.
- 02
Upload product and market context
Add the context the AI needs to probe intelligently, your product, your category, the questions you want answered on every call.
- 03
Run 30-50 conversations via one link
Share the link with your customer base, prospects, or recruiting panel. Each respondent gets a 5-10 minute moderated conversation, voice or text.
- 04
Review and code the responses
Review summaries and transcripts, verify any optional notable quotes, and code motivations and switching triggers for the persona document.
When teams use persona research with Diaform
Pre-launch positioning
Before you write the website, run conversations with your target buyers and let their language shape the positioning instead of guessing.
Refreshing stale personas
The deck from two years ago doesn't match today's customers. Re-run the same conversation and rebuild the personas on current data in a week.
Post-acquisition new-segment research
After an acquisition or expansion, you inherit a customer base nobody on the team understands yet. Run a wave of conversations to map the new segments.
Expanding to a new geography or language
Personas don't translate. Run native-language conversations in each new market and build local personas instead of forcing the US deck on EMEA.
B2B persona variation by role
A buyer, a champion, and an end user have different jobs. Run parallel conversation tracks for each and surface where their motivations diverge.
ICP refinement
When close rates vary wildly by segment, run conversations across both the wins and the losses to find which traits actually predict fit.
AI persona research vs. traditional persona work
Diaform
- Conversations across hundreds of users
- JTBD probing on every answer
- Per-response summaries and sentiment
- Multilingual native conversations
- Optional notable quotes linked to transcripts
- One-link recruiting, no scheduling
Traditional persona work
- Sample of 5-10 Zoom calls
- Researcher hand-codes themes
- Stale within six months
- Single language only
- Quotes lost in transcripts
- Recruiting takes weeks of scheduling
Frequently asked questions.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
The right sample depends on the diversity of the audience and the decision the personas need to support. Diaform can conduct conversations in parallel, but your research design should determine when the evidence is sufficient.
More conversations your team can run.
Explore the other ways Diaform can turn a static request for feedback into a useful conversation.
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