Built from assumptions, not evidence
Most personas come out of a workshop where the loudest opinion wins. Without real interviews 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, built from a sales workshop and a few stale demographics. Diaform runs AI-led interviews at scale and clusters what real customers say into personas you can actually use.
14-day free trial · No demo required
Persona research grounded in real customer language
Personas usually start as a workshop exercise: a team in a room agreeing on "Marketing Mary" based on a handful of sales calls and a stale survey. Six months later nobody references them, because they don't sound like anyone real. Diaform flips it, the AI interviews 30-50 actual customers, probes for jobs-to-be-done, and clusters what comes back.
You get personas defined by motivations, switching triggers, and the words customers themselves use, with verbatim quotes attached to every theme. When the market shifts, you re-run the same link and the personas update. No more decks built on assumptions.
Why most personas don't survive contact with the market
Five Zoom calls is not a sample
Even when teams do interviews, 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
AI-led JTBD interviews
The AI runs a real jobs-to-be-done interview on every respondent, probing on motivations, the situation that triggered the search, and what they were trying to get done.
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.
Themes auto-cluster across sessions
Across 30-50 interviews, recurring motivations, blockers, and switching triggers cluster automatically. You see the patterns without coding transcripts by hand.
Sentiment per persona group
Each cluster comes with its own sentiment profile, what excites that segment, what frustrates them, where the emotional weight sits.
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.
Native multilingual interviews
30+ languages. The AI interviews in the customer's native language and summarizes back to English so global research feeds the same persona model.
How persona research works in Diaform
- 1
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.
- 2
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.
- 3
Run 30-50 interviews 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.
- 4
Review the synthesized clusters
Themes, motivations, and switching triggers cluster automatically, each backed by verbatim quotes you can drop straight into the persona doc.
When teams use persona research with Diaform
Pre-launch positioning
Before you write the website, run interviews 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 interview 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 interviews to map the new segments.
Expanding to a new geography or language
Personas don't translate. Run native-language interviews 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 interview tracks for each and surface where their motivations diverge.
ICP refinement
When close rates vary wildly by segment, run interviews 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
- Automatic theme clustering
- Multilingual native interviews
- Quotes attached to every cluster
- 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
Q
How many interviews do I need to build solid personas?
Most teams hit theme saturation between 30 and 50 interviews per segment, the point where new conversations stop surfacing new motivations. Because Diaform runs sessions in parallel, you can hit that number in days, not months.
Q
Do I still need a researcher?
If you have one, they'll run better studies with Diaform, designing the interview, reviewing the clusters, writing the personas. If you don't, a PM or marketer can run a credible study without one. The AI handles the moderation and the synthesis.
Q
How does this compare to running a persona survey?
Surveys give you breadth on attributes you already thought to ask about. Persona research with Diaform gives you depth on motivations and language you didn't know to look for, because the AI probes wherever the answer gets interesting.
Q
Can I segment results by attributes like role or plan?
Yes. Capture attributes (role, company size, plan tier) at the start of the interview and slice the persona clusters by any of them, so you can see how motivations differ between, say, founders and ops leads.
Q
Can I run interviews in multiple languages at once?
Diaform supports 30+ languages. One link can run native-language interviews across markets, and every summary comes back in English so a single persona doc covers global findings.
Q
What does it cost to run a persona study?
Start with the 14-day free trial, to run a small study end to end. Pro is $89/month and Business is $149/month, both built for SMB SaaS teams running ongoing research, not one-off projects.
Explore more
Dive into the other ways Diaform can power your research.
Jobs-to-be-done research
Run JTBD interviews at scale and surface the situations, motivations, and outcomes behind every purchase decision.
Customer discovery
Talk to enough customers early to know what to build, without the calendar coordination tax.
AI user research platform
Moderated research interviews, probing, and synthesis, all in one shareable link.
Ready to upgrade your feedback loop?
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