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AI-driven performance management, engineering leadership, talent strategy, and the future of work.

Specific Recognition at Scale: Why Generic Praise Does Not Improve Performance
Alireza Boloorchi, PhD

Specific Recognition at Scale: Why Generic Praise Does Not Improve Performance

Generic praise feels nice, but it rarely changes performance. Learn how specific recognition reinforces the right behaviors, supports retention, and s...

July 26, 2026
Engagement Surveys vs. Quiet Disengagement: What Managers Miss Between Survey Cycles
Catch Up AI Team

Engagement Surveys vs. Quiet Disengagement: What Managers Miss Between Survey Cycles

Engagement surveys are useful, but they often miss quiet disengagement between cycles. Here is what managers should pair with survey data.

July 24, 2026
Shadow AI at Work: Why Employees Use Unapproved Tools and What HR Should Do About It
Catch Up AI Team

Shadow AI at Work: Why Employees Use Unapproved Tools and What HR Should Do About It

A practical guide for HR and people leaders on shadow AI, approved workflows, and responsible AI adoption at work.

July 24, 2026
Using Lattice? Add Live Signals, Early Alerts, and Timely Manager Action
Catch Up AI Team

Using Lattice? Add Live Signals, Early Alerts, and Timely Manager Action

Catch Up AI integrates with Lattice to add live signals, early alerts, private check-ins, and timely manager action to existing people workflows.

July 20, 2026
The Evidence Standard for Performance Decisions
Catch Up AI Team

The Evidence Standard for Performance Decisions

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.

July 20, 2026
The 90-Day Retention Window: What Managers Should Do After an Early Risk Signal
Catch Up AI Team

The 90-Day Retention Window: What Managers Should Do After an Early Risk Signal

A manager-focused guide to acting on early retention signals before they turn into resignation risk.

March 9, 2026
Employee Attrition Prediction: What Good Models Measure and What They Should Never Do
Catch Up AI Team

Employee Attrition Prediction: What Good Models Measure and What They Should Never Do

A practical guide to employee attrition prediction, retention signals, and responsible manager action.

November 16, 2025
EU AI Act and Workplace AI: What HR Teams Should Prepare For
Catch Up AI Team

EU AI Act and Workplace AI: What HR Teams Should Prepare For

A practical HR guide to workplace AI, governance, human oversight, and responsible performance-related workflows.

September 8, 2025
AI Performance Management Governance: 10 Questions Every CHRO Should Ask Before Buying
Alireza Boloorchi, PhD

AI Performance Management Governance: 10 Questions Every CHRO Should Ask Before Buying

A practical governance checklist for HR teams evaluating AI performance management software before rollout.

March 28, 2025
Employee Monitoring vs. Performance Intelligence: The Line HR Must Not Cross
Alireza Boloorchi, PhD

Employee Monitoring vs. Performance Intelligence: The Line HR Must Not Cross

AI workplace tools often get grouped together as monitoring. Here is the line between surveillance and performance intelligence that actually helps pe...

October 26, 2024
Real-Time Performance Management: A Practical Operating Model for CHROs
Alireza Boloorchi, PhD

Real-Time Performance Management: A Practical Operating Model for CHROs

Continuous feedback is not the same as real-time performance management. Here is a practical operating model CHROs can actually implement this quarter...

May 18, 2024
AI Performance Review Software: Drafts vs. Evidence
Catch Up AI Team

AI Performance Review Software: Drafts vs. Evidence

Not every “AI-powered” performance review tool does the same job. Here’s how to tell an evidence-based system from one that just writes fast.

April 5, 2024

12 articles total