How Insight Engineers Cut Coding Time from 6 Hours to 2 Without Losing Rigor
6h -> 2h
coding time reduced to roughly one-third
6 projects
delivered in under two months
40+ countries
recent research delivery across global markets
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The challenge: mixed-method analysis under tight turnaround
Company
Insight Engineers combines qualitative and quantitative research to support evidence-based decisions for B2B and B2C clients.
Industry
Research consulting
Core outcomes
Insight Engineers needed a faster way to move from raw responses to decision-ready evidence without sacrificing rigor. Their projects often combine qualitative interviews, ranking questions, and quantitative survey layers, so analysis speed is only useful if outputs remain coherent and defensible.
The team regularly handles studies that span multiple countries, respondent types, and data shapes. Typical projects include interview coding, grouped scales, ranking logic, and appendices that need to stay linked for reporting. Before AddMaple, manual coding and setup consumed too much project time. The bigger issue was not just labor - it was keeping the analysis traceable when qualitative interpretation had to line up with quantitative structure.
When I coded manually, it took me six hours. With AddMaple, including recoding, I can now do it in around two hours - about a third of the time.
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From faster coding to stronger evidence
AddMaple made the core analysis loop faster and easier to revisit. Data structure became visible quickly, recoding became iterative rather than one-shot, and subgroup analysis could be checked against source context.
Speed alone was not the win. The more important gain was the ability to trace relationships: connect word clouds, keywords, job-role segmentation, and AI summaries into a coherent narrative that could be validated. That gave the team a stronger evidence base for client-facing outputs, especially where qualitative themes needed to align with quantitative signals.
The AI summary on subgroups is fantastic... I can verify it against interview findings, and the recoding function is really good.
Faster thematic coding and recoding across mixed-question studies.
Statistical exploration with instant subgroup summaries.
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Delivery impact and outcome
With the analysis cycle compressed, Insight Engineers delivered six major projects in under two months, including international qualitative and quantitative workstreams.
The workflow change improved throughput without forcing trade-offs on quality, which is critical when clients depend on both speed and defensible recommendations. AddMaple helped the team spend less time on manual coding mechanics and more time building the evidence story clients needed to act on.
I am finding it very accurate compared to six or seven other platforms I have used.