Webinar
Before You Build: The Hidden Costs of DIY Conversation Analysis
Customer conversations are becoming one of a company’s most valuable data sources. The teams gaining a competitive advantage are using them to shape decisions across retention, product, operations, and customer experience.
The opportunity is clear. The path to getting there is less so.
Today’s AI tools make it easy to build a conversation analysis prototype. But reliably analyzing 100% of your conversations at scale is a very different project.
That leads many teams to ask: Can we just build this ourselves?
Join Mel Bilge, Director of Customer Success, and Mike Nucci, Head of Revenue Operations, for an honest look at DIY conversation analysis. Drawing from Mike’s head-to-head benchmark research, they’ll explore when DIY is enough, where it breaks down, and the trade-offs to consider before committing engineering resources.
What you’ll learn
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How to identify the situations where a lightweight DIY approach may be all you need – and when dedicated engineering resources become necessary.
Why a weekend project that works on a sample of conversations is very different from a production-ready system that serves your entire organization.
How different approaches compare across coverage, consistency, accuracy, cost, and time–and why a confident-looking answer may not tell the whole story.
What it takes to scale, maintain, and continuously improve an internal system and how to determine whether that is the best use of your engineering resources.
Meet our speakers
Meliha Bilge
Director of Customer Success, Rippit
Mike Nucci
Head of Revenue Operations, Rippit
Where conversations become
insights
actionable data
business intelligence
enterprise visibility
insights
