Using AI to evaluate employee performance with Rippling’s COO Matt MacInnis

In this episode of No Priors, Sarah and Elad sit down with Matt MacInnis, COO of Rippling, to discuss the company’s unique product strategy and the advantages of being a compound startup. Matt introduces Talent Signal, Rippling’s AI-powered employee performance tool, and explains how early adopters are using it to gain a competitive edge. They explore Rippling’s approach to choosing which AI products to build and how they plan to leverage their rich data sources. The conversation also delves into how AI shapes real-world decision-making and how to realistically integrate these tools into organizational workflows.

Sign up for new podcasts every week. Email feedback to [email protected]

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Stanine

Show Notes: 

0:00 Introduction

0:32 Rippling’s mission and product offerings

2:13 Compound startups

3:53 Evaluating human performance with Talent Signal 

13:19 Incorporating AI evaluations into decision-making at Rippling

14:56 Leveraging work outputs as inputs for models

18:23 How Rippling chose which AI product to build first

20:53 Building out bundled products

23:26 Merging and scaling diverse data sources

25:16 Early adopters and integrating AI into decision-making processes