Product Updates

AI-Moderated Expert Interviews: From One Prompt to Completed Project

One prompt to project is Qualitate’s workflow that turns a single research question into AI-moderated expert interviews, delivered as structured insights in 3 to 10 business days.

Here is exactly what happens in between.

What question do you want answered?

Start with the question you actually want answered. For example: are large enterprises consolidating their AI spend between OpenAI and Anthropic, and who is winning the budget.

No screener to write or questionnaire to build. You type the question into Qualitate’s Research Analyst the way you would say it to a colleague.

How does Qualitate scope the project?

Qualitate’s agent reads the question and goes to work. It identifies the companies in scope, such as OpenAI and Anthropic, and pulls in relevant context from discussions conducted with experts available in our core library. Then it drafts the project for you, and identifies the target expert profile. 

It creates the objective, down to the things the moderator should push on, like whether dual-sourcing is a deliberate hedge or a step toward picking one vendor, and where the incremental AI budget is coming from. It sets the audience filters based on your initial ask: C-level buyers at large enterprises running both products.

Everything is editable. Adjust the objective, widen the company list, or change the seniority of the buyers you want to hear from. When it looks right, you click Launch Custom Project. The scoped questions go to your firm's internal compliance for review and approval. 

How does the AI Moderator run the interviews?

Once approved, launch puts Qualitate’s expert AI Moderator to work. It conducts voice discussions with experts from Qualitate’s proprietary panel, running many of them at once.

The Moderator is equipped with hundreds of thousands of minutes of real expert conversations. When a buyer says they are moving coding workloads to Anthropic, it follows up. Why, what stays on OpenAI, and what would push them to a single vendor. It captures the second and third level of the answer.

What do you get back?

Twenty-five transcripts come back in three to 10 business days. Every discussion is screened for MNPI and PII before it reaches you, with human review on anything flagged.

You get an executive briefing that synthesizes every interview into one report, with every datapoint sourced to the underlying conversation. Ask Research Analyst any questions and have it work across your proprietary data.  

Because every discussion follows the same structure, the output behaves like data. You can compare responses quantitatively. 

Frequently asked questions

How long does a Qualitate custom project take?

A typical project delivers 20 to 25 AI-moderated expert interviews in three to 10 business days.

How much does it cost compared to an expert network?

A Qualitate custom project runs at roughly one-third the cost of traditional expert calls.

Who are the experts?

Verified key decision-makers from Qualitate’s owned panel, or sourced and authenticated directly by our in-house team for out-of-network experts. 

Can I edit the AI-scoped project before launch?

Yes. The title, objective, company list, and audience filters are all editable before you launch.

Does my compliance team review projects before they launch?

Yes. Before any custom project goes out to experts, the scoped questions route to your firm’s internal compliance for review and approval. 

How does Qualitate handle MNPI and PII?

Every expert discussion is automatically screened for material non-public information and personally identifiable data before it reaches your team. Flagged content is reviewed by our compliance team - with 100% human-in-the-loop review - and firm-level access controls and full audit trails sit on top. More at qualitate.io/compliance

How to get in touch

Every business decision can now be powered with expert intelligence.

See it run on a question your team is working on right now. Book a demo at qualitate.io/book-a-demo.

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