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Qual at Scale

How to Choose the Right Tools, Techniques, and Tradeoffs

Qual at scale isn’t just scaled-up qual or open-ends tacked onto quant. It’s a fast-evolving set of tools and methods — with real power, real tradeoffs, and a lot of noise.

This session will help you cut through the buzz and assess when and how to use qual-at-scale approaches to elevate your work.

Whether you're designing a custom study, rethinking a tracker, or making sense of a mountain of feedback, you’ll leave with a clear, practical framework for choosing the right tools and techniques to match your goals.

You’ll walk away with an actionable understanding of essential considerations for qual at scale:

✅ The 5+ most common approaches and the real-world tradeoffs between them

✅ How to optimize dynamic prompts, when to use them, and when not to 

✅ How to weigh tradeoffs across cost, speed, adaptability, depth, and coverage

✅ What high-quality open-ends can unlock at the intersection of quant and qual

Whether you’re designing a custom study, rethinking your tracking program, or making sense of massive volumes of customer feedback — this session will help you choose the right approach with clarity and confidence.

Assess tools, techniques and tradeoffs for open ended insights

At Fathom, we see it all when it comes to scaling open-ended insights:

  • Massive volumes of open-ended survey data

  • Conversational surveys with dynamic probing

  • AI-moderated interviews, or blended approaches

  • Long-form feedback from online communities

  • Support transcripts, chat logs, CRM notes

Across market research and customer insights verticals, we have a front-line view into what’s working, what’s not, and where different qual at scale approaches fit 

This session is about sharing what we’re seeing in the world of qual at scale - what works, doesn’t quite yet - and how to choose the right tool for the job. 

Why spend time on this qual at scale webinar?

➡️ Cut through the noise: Learn when and how to apply qual-at-scale methods that truly work

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➡️ Real-world insights: Understand the tradeoffs between tools — speed, cost, depth, and more


➡️ Actionable framework: Turn messy open-ended feedback into clear, confident decisions

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