Your performance cycle is taking 26 weeks a year. Here's what two people leaders did instead.
Faculty's performance process consumed 26 weeks a year. Juro burned theirs down and rebuilt. Here's what both learned about AI, manager coaching, and continuous feedback.
You can't run quarterly planning cycles at AI company speed. Here's what Lovable and Tandem do instead.
Lovable uses quarterly signal reviews and micro retros. Tandem runs six-week cycles. How two AI-native teams rebuilt performance management to match their operating speed.
How Lovable and ŌURA scale performance in the AI era
A Slush 2025 side event discussion featuring engineering and marketing leaders from Lovable and ŌURA on how teams achieve high performance in AI-native environments.
Bringing performance management to the age of AI at Faculty: Inside Faculty AI's org-wide adoption of Taito.ai
How Faculty AI automated their end-to-end performance cycle across 309 employees, achieving 50% increase in platform utilization and generating 185-300 weekly feedback points.
Din Psykolog: Building a positive feedback culture from scratch with Taito.ai
How Din Psykolog trialed and implemented Taito.ai to foster continuous feedback and boost team morale across their distributed mental health services organization.
How Faculty Drives Performance Enablement with Continuous Feedback
Learn how Faculty, a leading AI company with 400 employees, replaced rigid annual review cycles with flexible, year-round performance management using Taito.ai's continuous feedback platform.
How Continuous Feedback is Helping to Drive Growth at Zepz with Taito.ai
Discover how Zepz, a global fintech company with 800+ employees, transformed their performance management by replacing static annual reviews with continuous AI-powered feedback through Taito.ai.