
Ep 44 - Q2 2025 OKR Forecast: Generative AI, Localization, and Retrospectives with a Panel of OKR Experts
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In this first part of our quarterly update, we dive deep into the generative AI revolution (spoiler: it's not as revolutionary as everyone claims), the evolving art of OKR localization across complex organizations, and why your retrospectives might be the most important OKR practice you might be doing wrong. Whether you're an OKR skeptic, a seasoned practitioner, or somewhere in between, this conversation will give you practical insights you can't get anywhere else.
Episode Highlights:
- Generative AI in OKRs: why draft quality is improving, but real strategic impact is still lagging behind
- TRV (Technology Realized Value): the Big Five’s new metric for linking OKRs to actual tech investment outcomes
- The “Two Lists” Problem: how teams are secretly working off dual strategies—and why it’s undermining OKR focus
- Cascading and Localization: evolving models for aligning across global teams, even amid geopolitical complexity
- Culture-First OKRs: tailoring implementation to readiness, from transformation-driven overhauls to scrappy gradual rollouts
- Retrospectives that matter: how deeper reflection—not just review—builds quarter-over-quarter OKR maturity
Key Concepts Explored:
- Generative AI in OKRs: Where it's accelerating strategy work, where it's falling short, and the risk of generic, uncontextualized models
- Technology Realized Value (TRV): A new metric used alongside OKRs to measure the tangible impact of tech investments
- The “Two Lists” Problem: How parallel strategic workstreams outside the OKR framework dilute focus and undermine accountability
- Localization & Alignment: Why clear, bottom-up contribution is critical in global, matrixed organizations—especially in high-stakes geopolitical climates
- Culture-Responsive Implementation: Tailoring OKR rollouts based on organizational readiness, risk appetite, and transformation goals
- Iterative Learning over Perfection: Why OKR maturity builds quarter over quarter—and how learning from retrospectives is more valuable than writing the “perfect” OKR
- Leading vs. Lagging Indicators: The power of AI to help surface potential leading indicators clients may struggle to define on their own
- Transformation & Change Management: How OKRs, when paired with transformation strategy, become powerful drivers of organizational evolution
Notable Quotes:
"Is this really driving the value you wanted to achieve? How do you know who cares? So what happens if this is done or not done? These things that don't get asked are so critically important to make sure that people are focused on the right work." — Natalie Webb [00:12:00]
"If I could only tell clients one thing about OKRs, it would be we spend all of our time focused on writing them and then way too little time focused on learning from them." — Sara Lobkovich [00:23:00]
"I think the best way to use OKRs initially is always the way that the company is willing and able to adopt it. Me talking about the gold star way of doing OKRs isn't gonna help clients that are at the crawling level and not a hundred percent convinced yet." — Maria Rowcliffe [00:21:00]
"OKRs are really hard. We're talking about change - really hard for people to stick with when it gets challenging." — Sara Lobkovich [00:28:00]
Chapters:
[00:00:00] Introduction:...