Market Research Synthesis with AI
We use AI to turn research interviews into a searchable set of findings, including how people feel and how clinicians may respond to marketing.
The Challenge
The team runs research interviews and needs findings it can actually use.
- The interview transcripts hold more insight than anyone can read through by hand.
- The team needs answers it can search and act on.
- The team wants to understand how clinicians respond to its marketing.
Why AI
Reading large amounts of interview text and pulling out patterns is a clear strength of AI.
- AI reads and organizes long transcripts quickly.
- AI reads the tone and feeling in the responses.
- AI lets the team ask questions of the findings and get answers.
What we built and how it works
We turn the interviews into an organized, searchable set of findings.
- We conduct the interviews and transcribe them.
- We sort the responses into an organized spreadsheet.
- We read the tone and feeling across the responses.
- The team can then question the findings, including deeper questions about how clinicians may respond to marketing.
AI and Human Roles
AI organizes the data, and our team draws the conclusions.
Results
The interviews become a set of findings the team can search.
- The transcripts are organized into a searchable spreadsheet.
- The findings include how people felt in their responses.
- The team can ask deeper questions about how clinicians respond to its marketing.
In Their Words
Before“We used to finish a round of interviews with a stack of transcripts and a sinking feeling about how long it would take to make sense of them.”
After“Now we can simply ask our research questions and get real answers. It feels like the insights were finally set free.”
— A market research lead at the team
Start a Conversation
To learn how your audience and clinicians respond to your marketing, reach out to start a conversation.