Beyond Topics: Advanced Thematic Coding for Deeper Insights
WEBINAR
Proven Ways to Code Open-Ended Data — Unlock Themes, Emotions & Impact
Open-ended feedback is some of the richest data you have. But it’s also some of the hardest to interpret reliably at scale. And increasingly, that’s an in-house job.
At Fathom, we analyze more open-ended feedback than most researchers will ever see in a lifetime. And we’re sharing what we’ve learned.
👉 Join us August 19th to level up your team’s coding practice.
Done well, thematic coding doesn’t just surface topics, it uncovers the emotions, values, and experiences that drive real decisions and outcomes.
But many teams stop short or get stuck in old workflows that miss the bigger story.
Get it right, and you’ll find patterns others miss, tie open-ends to business goals, and keep more control (and credit) in-house.
This is the first time we’re opening up our proven methods and lessons learned from coding millions of open-ends at scale.
🗓️ Date: August 19, 2025
⏰ Time: 10PT/1ET
💻 Where: Zoom of course!
In this session, you’ll learn how to code open-ended data confidently and efficiently, combining proven methods with smart AI assist, while keeping human oversight where it matters most.
What You’ll Learn:
The four coding methodologies: Deductive, Inductive, Semantic & Latent — when to use or combine them.
How to move beyond topics: Capture values, emotions & experiences, and connect them to business outcomes.
Workflow best practices: keep your coding efficient, consistent & high-quality.
Where AI works: And where human oversight keeps nuance strong.
Real-world use case: From tracking perceptions to product feedback to voter insights.
If you’re a quant researcher suddenly taking on way more open-ends — or you lead a team that needs to deliver more with less — you don’t want to miss this.
What You’ll Take Away:
A proven framework for coding open-ended data at any scale.
Clear steps to design code frames that unlock more depth and connect directly to business decisions.
Practical tips to train your team, boost consistency, and deliver stronger insights with confidence.
Clarity on how to combine human and AI strengths.
Workflows are changing. Quant teams are being pushed outside old silos to deliver qual-at-scale — faster, better, and with fewer outside vendors.
But it also means change, and that can be costly. Getting it right is key to actually saving time and money, and to maintaining stakeholder confidence.
Bonus for registrants: All participants get our Step-by-Step Open-Ended Coding Playbook — a practical resource to train your team and put these lessons to work immediately.
PS. Can’t join live? Register anyway — we’ll send you the full recording and the playbook.
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