A company recently came to us with a huge challenge: over 200,000 open-ended survey responses collected over 5 years, all needing to be analyzed and synthesized into insights within weeks. ??
This problem isn’t unique to big co. Government agencies and orgs conducting large scale medical or consumer research face similar overwhelming data challenges.
The manual methods we use for small studies won't work. But AI alone isn’t enough.
While AI can process data quickly, it often misses the nuance and depth needed for meaningful insights.
Some specific limitations with an AI-only approach:
? AI focuses on high-frequency terms, often missing emotional undertones, contradictions, or deeper themes.
? It struggles with tone, sarcasm, and complex emotional feedback.
? AI might group irrelevant data together because of its reliance on statistical frequency.
? It can reflect the biases of the datasets it’s trained on, often missing underrepresented voices.
? And the key limitation: handling extremely large datasets. Most consumer platforms require data to be processed in smaller batches due to memory and processing limits, leading to fragmented, disjointed insights.
That’s why we launched a new service. ??♀?
It's a perfect blend of our backgrounds in consulting, research expertise, and the technology we’ve built with Notably. I truly think our product is the best qualitative analysis tool on the market and you won't find anyone more passionate about synthesis and big data challenges than our team. ??
I put together this blog post to elaborate on the challenges and break down how we approach this challenge with our blend of tech & services. If you have a mountain of data you need help analyzing quickly, our team is here to help!
https://lnkd.in/dQ3-z6D8
#uxresearch #qualitativedata #consultingservices #AI #datanalysis #AIandTech #HumaninTheLoop
