AI market research for SaaS, from the whole buying committee.
Software deals are won or lost by five people, and your CRM hears from one. Jean interviews the buyer, the admin, IT and the users, and has the readout ready by morning.
- ChampionDirector of RevOps6deals ended here
Left the company mid-deal
“Our sponsor left in May. Nobody picked it back up.”
- Economic buyerVP or CFO13deals ended here
Could not see payback this year
“The ROI slide was about seats, not about our pipeline.”
- IT and securityCISO, IT director22deals ended here
Security review stalled
“We asked for the SOC 2 report twice. The other vendor sent it the same day.”
- ProcurementSourcing lead9deals ended here
Per-seat price did not fit the budget line
“Usage pricing would have gone through without a second approval.”
- End usersSales managers14deals ended here
Missing the Salesforce sync they rely on
“The trial looked good, but my reps live in Salesforce.”
Loss reason in the CRM, against what buyers said
- PriceCRM44%Buyers16%
- Security reviewCRM3%Buyers34%
- Missing integrationCRM12%Buyers22%
Reps logged security as the reason in 2 of 64 losses. Buyers named it in 22. Next step: send the security packet on the first call.
Win-loss, pricing and churn interviews with the whole buying committee.
What teams run
Each study starts with a question like one of these.
Win-loss analysis
“Why did we lose six enterprise deals to the same competitor last quarter?”
Pricing and packaging
“Will moving from per seat to usage pricing slow down procurement?”
Churn and downgrade interviews
“Why do admins cut seats at renewal when usage looks healthy?”
Buying committee research
“Who signs off on a security review, and what do they need to see?”
Roadmap and feature validation
“Which of these three AI features would a buyer pay more for?”
Positioning and messaging
“Do IT leaders understand what we do from the homepage alone?”
Win-loss interviews your reps cannot run.
Buyers tell a neutral interviewer what they will not tell the rep who lost the deal. Jean asks every lost and won buyer the same guide, follows up on each answer, and sorts the reasons by role: champion, economic buyer, IT, procurement and end users.
Reach the buyers you never met.
Invite customers from your CRM or product, and recruit IT decision makers, security leads and buyers who chose a competitor. Interviews run by voice or text in their own time, so a CISO can answer in 15 minutes between meetings.
Test pricing and packaging before the price page ships.
Ask a thousand twins of your ICP how they react to per seat, usage based or a new tier. They disagree the way real buyers do. Then confirm the winner with real interviews overnight.
How you run it
- 1Minutes
Screen
A thousand digital twins answer first, so the weak options drop out.
- 2Overnight
Interview
The AI interviewer talks to real people and follows up on what they say.
- 3By morning
Decide
The number, the reasons behind it and the quotes that carry it.
Questions
How does AI win-loss analysis work?
You send Jean the contacts from won and lost deals. The interviewer runs the same guide with each buyer, asks follow-up questions, and codes the reasons into themes with counts and quotes. Because it is not your sales rep asking, buyers tend to say more.
Can Jean interview our own customers and admins?
Yes. Invite them from your CRM, your product or a list. You can also recruit people outside your base, such as buyers who chose a competitor.
Can you reach IT decision makers and security leads?
Yes, through your own contacts or recruited B2B respondents. Senior IT buyers are hard to schedule, so interviews run whenever they have 15 minutes, by voice or text.
How do you research SaaS pricing?
Start with digital twins of your ICP to screen price points and packaging in minutes. Then run real interviews with buyers to confirm the winner and hear why.
Can digital twins replace customer interviews?
No. Twins are built from real interviews and are best for narrowing options fast. Real interviews confirm the answer and keep the twins current.
Can we run studies from our AI tools?
Yes. With Jean MCP a product or research team can design and launch studies from the AI assistant they already use.