How To Scale Research Evaluation with AI Call Analytics: Riggs Partners’ Success Story
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Kehinde Fatosa - 10 min read
Scaling research evaluation across multiple projects and clients can quickly become overwhelming.
Riggs Partners, a purpose-driven brand and communications agency, runs dozens of interviews, focus groups, and stakeholder calls each month, each packed with insights that guide strategic decisions.
But their process for extracting insights from these calls was slow, manual, and time-consuming. Before adopting AI, researchers spent days transcribing, printing, and manually highlighting interviews to identify key quotes and themes.
Traditional methods simply couldn’t keep up with the growing volume of conversations and deadlines. That’s when Riggs Partners turned to Insight7’s AI-powered call analytics to transform how they evaluate research conversations.
The Challenge: Turning Hours of Calls into Actionable Research Insights
Before using Insight7, the Riggs team faced a familiar bottleneck: manually turning qualitative data into usable insights.
Kevin Smith, Partner at Riggs Partners explains:
“Before we got Insight7, I would spend days getting recordings transcribed, printing out transcripts, reading them, highlighting interesting quotes, aggregating those quotes into insights, and putting all of that into a PowerPoint.”
This manual approach wasn’t just slow, it limited how quickly insights could be shared internally or presented to clients.
For a firm built on collaboration and strategy, this process made it hard to stay agile and responsive. And with multiple team members often contributing to the same project, organizing and updating research findings became even harder.
The Solution: AI Powered Research Evaluation with Insight7
Everything changed once Riggs Partners adopted Insight7.
“Now, I just upload the recordings into Insight7 and all of that work is done for me in a matter of minutes,” Kevin shared. “It’s a great tool.”
With Insight7, Riggs Partners could instantly upload recorded interviews and get structured insights, highlights, and themes — without spending days manually reviewing each transcript.
Insight7’s flexibility also proved valuable:
“Being able to add to and take away and change some of the inquiries on the data because I’ll have different co-workers that have different questions, it’s nice to be able to go back in. It’s not a one-shot and you’re done scenario.”
This meant the team could adapt their research evaluation dynamically, exploring new angles, refining insights, and collaborating seamlessly across projects.
The Impact: From Days of Work to Minutes
With Insight7, Riggs Partners reduced a process that used to take several days down to minutes. What once required manual transcription, highlighting, and synthesis is now automated, letting researchers focus on strategic storytelling rather than administrative work.
Key benefits achieved:
Faster turnaround: Insight generation in minutes instead of days.
Collaborative flexibility: Multiple team members can revisit and refine data.
Consistent quality: No more variation in how insights are captured or presented.
Why This Matters for Research and Strategy Teams
For any organization handling large volumes of qualitative data, from agencies to in house research teams, the Riggs Partners story highlights how AI powered evaluation changes the game:
Eliminate manual transcription and note-taking
Generate structured insights instantly
Collaborate dynamically across research projects
Scale analysis without sacrificing depth or accuracy
By automating the grunt work, teams can focus on what really matters, telling better stories, faster.
Conclusion
Riggs Partners’ journey shows that AI call analytics isn’t just for sales or support teams, it’s a powerful ally for research and strategy professionals, too.
With Insight7, they’ve transformed tedious, manual analysis into a fast, flexible, and collaborative process — all while maintaining the depth and nuance their work demands.
Analyze & Evaluate Calls. At Scale.
Frequently Asked Questions
Do researchers still need to transcribe calls manually?
No. Insight7 automatically transcribes and evaluates calls, surfacing key quotes and insights within minutes.
Can multiple team members collaborate on the same project?
Yes. Teams can update data and explore different research angles without starting over.
Why is AI powered call analytics valuable for research teams?
It enables teams to evaluate qualitative data faster, extract richer insights, and collaborate seamlessly, all without the manual burden of traditional analysis.
Analyze & Evaluate Calls. At Scale.
