Session
When People Analytics Starts Shipping AI Products
What changes when the function builds decision products rather than reports?
PAWorld26 San Francisco · 23–24 September 2026 · San Francisco
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– · Work Design
About this session
The Snowflake case combines two product patterns: role-specific skills for recurring HR workflows and a shared employee and manager experience that brings together knowledge, data and controlled actions. Matthew Corritore will frame the shift from bespoke analytical delivery to reusable products; Dimple Mehta brings the implementation history behind the skills, agent experience, permissions and workflow design. The key question is not whether an assistant can answer a query. It is how a People Analytics team decides what should become a product, who owns it after launch, how access and guardrails work, and how value is measured beyond usage.
Learning outcomes
- See what changes when People Analytics owns reusable products.
- Learn how permissions and product governance become part of the operating model.
- Apply a measurement approach that moves beyond counting usage.
This session will explore
- How the team distinguishes a one-off analysis from a reusable skill or product.
- Two product patterns across role-specific and shared employee/manager experiences.
- Product ownership, role-based access and row-level permissions.
- A measurement ladder from eligibility and use towards quality and business effect.
Context
A core Work Design breakout case about a People Analytics function becoming an internal AI product function. It is not a plenary or sponsor session.
Speakers and contributors
Matthew CorritoreCo-presenterHead of People AnalyticsSnowflake
Dimple MehtaCo-presenterSenior Analyst, People AnalyticsSnowflake