Launch HN: VoiceOps (YC W17) – Data analysis for sales calls
We transcribe, parse, then analyze calls for what behavior is most successful (e.g. how many probing questions to ask on a call, the value of describing benefits vs. features, when to time an upsell or close attempt, etc.). Once we understand what works, we help managers scale that out, improving performance across their entire team.
Currently, sales managers spend 10-20 hrs/week listening to the call recordings of their reps and then guessing at how to provide feedback. The process is slow, lacks consistency, isn’t based on data, and often fails to motivate or change behavior.
Every other part of the sales stack (email especially) is already data driven. With sales reps spending most of their time on the phone, it should be the most important activity to optimize.
The prototype was built and first clients closed while I was living in a van and Ethan was sleeping on a kitchen floor in the Mission. Between our three co-founders we’ve spent nearly a decade building sales and support tools for companies like LinkedIn, Gusto, Coinbase, and General Assembly. Even there we saw this lack of data become problematic and expensive.
Take a peek - we’d love to hear your feedback!