AI-driven performance management, engineering leadership, talent strategy, and the future of work.
AI-driven performance management, engineering leadership, talent strategy, and the future of work.
Learn what happens in a Retention Forecast Review, what information you need, what you walk away with, and whether the session is a product demo.
A retention risk flag is not a plan. Use this practical five step manager framework to explain, validate, assign, act, and follow up after risk is ide...
Detecting retention risk is only the first step. Learn where retention workflows break between a risk alert and real manager action, and how to close ...
Your HRIS already holds retention signals. Learn which fields matter most, how to read them together, and how to turn HRIS data into earlier manager a...
One signal is a guess. Learn how HRIS data, engagement surveys, workplace signals, and manager context work together to create a stronger read on empl...
A complete guide to retention forecasting, from HRIS, survey, and workplace signals to validated manager action and measurable follow-up.
A practical guide to flight-risk signals managers should treat as conversation prompts, not employee labels.
Generic praise feels nice, but it rarely changes performance. Learn how specific recognition reinforces the right behaviors, supports retention, and s...
Engagement surveys are useful, but they often miss quiet disengagement between cycles. Here is what managers should pair with survey data.
A practical guide for HR and people leaders on shadow AI, approved workflows, and responsible AI adoption at work.
Catch Up AI integrates with Lattice to add live signals, early alerts, private check-ins, and timely manager action to existing people workflows.
Most performance reviews claim to be “data-driven.” Here’s a practical hierarchy for what should actually count as evidence, and what’s just opinion.
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