Sign up to save your podcasts
Or
Share Satish Kumar on Why Performance, Learning, and Pay Must Finally Work Together
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Satish Kumar on Why Performance, Learning, and Pay Must Finally Work Together
Performance management only works when it’s connected to how people grow and how they’re rewarded.
In this episode of MustardHub Voices: Behind the Build, Curtis Forbes sits down with Satish Kumar, Head of PerformSpark at Trainery, to explore why traditional performance reviews are broken and what modern organizations need instead. Coming from a finance and private equity background, Satish brings a first-principles perspective to HR tech — questioning long-standing assumptions and rethinking how systems should actually work together.
The conversation dives into why once-a-year reviews no longer make sense, how AI can surface patterns managers miss, and why learning, performance, and compensation should never live in silos. Satish also shares insights on distributed and frontline workforces, manager enablement, and why intellectual curiosity and AI fluency are quickly becoming non-negotiable skills.
This episode is a must-watch for HR leaders, founders, and operators looking to move beyond fragmented tools and build talent systems designed for the future of work.
About Satish:
Satish helps lead PerformSpark (fka ReviewCloud), Trainery’s performance management module. His philosophy is simple: learning, performance, and pay only make sense when they’re connected.
PerformSpark is the “performance” piece of that triangle — the part that makes goals, feedback, and growth feel real instead of something that just happens once a year. His job is to make the tool useful, simple, and tied to how people actually work.
View all episodes
By MustardHubPerformance management only works when it’s connected to how people grow and how they’re rewarded.
In this episode of MustardHub Voices: Behind the Build, Curtis Forbes sits down with Satish Kumar, Head of PerformSpark at Trainery, to explore why traditional performance reviews are broken and what modern organizations need instead. Coming from a finance and private equity background, Satish brings a first-principles perspective to HR tech — questioning long-standing assumptions and rethinking how systems should actually work together.
The conversation dives into why once-a-year reviews no longer make sense, how AI can surface patterns managers miss, and why learning, performance, and compensation should never live in silos. Satish also shares insights on distributed and frontline workforces, manager enablement, and why intellectual curiosity and AI fluency are quickly becoming non-negotiable skills.
This episode is a must-watch for HR leaders, founders, and operators looking to move beyond fragmented tools and build talent systems designed for the future of work.
About Satish:
Satish helps lead PerformSpark (fka ReviewCloud), Trainery’s performance management module. His philosophy is simple: learning, performance, and pay only make sense when they’re connected.
PerformSpark is the “performance” piece of that triangle — the part that makes goals, feedback, and growth feel real instead of something that just happens once a year. His job is to make the tool useful, simple, and tied to how people actually work.