How Shed Research Analyzes 40,000+ Survey Responses with AI
Learn how Shed Research uses AddMaple to transform large-scale survey analysis and unlock deeper insights from open-ended responses.
Shed Research Consulting, founded by Dan Young in 2011, specializes in insight synthesis - taking existing research and unlocking its full potential. Dan believes there's significant untapped value in research that's already been conducted, sitting in files, on desks, and online. His mission is to help the customer insight industry make better use of existing research assets.
Dan Young
Shed Research Consulting
About Dan Young
Dan has dedicated his entire career to customer insight, with experience at leading organizations including Ipsos MORI and Legal & General. A respected voice in the industry, Dan frequently speaks at AURA and MRS conferences, sharing his expertise on insight synthesis and its transformative impact on organizations.
The Challenge
Shed Research faced the complex task of analyzing a massive dataset containing 40,000 survey responses collected over three years. With multiple open-ended questions, manual coding was not feasible or cost-effective.
The Solution
Using AddMaple, Shed Research was able to:
- Transform raw data into actionable insights instantly
- Leverage AI to code thousands of open-ended responses
- Validate AI-generated insights through iterative refinement
The Results
The implementation of AddMaple delivered significant benefits:
- Achieved rapid data visualization with intuitive pivots and filters
- Successfully processed 40,000+ survey responses with AI assistance
- Gained confidence in AI analysis through transparent methodology
- Unlocked insights that would have been impractical to discover manually
“AddMaple helped me get lightning-fast insights, transforming raw data into charts incredibly quickly with simple pivots and filters.
“AddMaple's AI tool enabled me to code 40,000 survey responses with open-ended questions—something I couldn't have done as quickly or effectively without it.