Treating KPIs and Key Results as the same thing? That's one of the fastest ways to completely undermine your goal-setting efforts.
Read more 👉 https://lttr.ai/AjWPu
#OKRs
No purchase necessary. U.S. residents, 18+ only. Ends Thursday, October 9th at 11:59 PM Pacific. Two (2) winners chosen at random. Prize: 2 event tickets (ARV $398) + 2 book (ARV $52) for each winner. Odds depend on entries. Not sponsored or endorsed by Instagram.
Full rules available at: http://bit.ly/42VsktD
More information about the World OKR Summit is available at: https://findrc.co/slokrsum25
#OKRs #Strategy #WorldOKRSummit #OKR #StrategyExecution #LeadershipDevelopment
That scaffolding is especially powerful for neurodivergent team members, whose contributions don't always fit conventional molds.
In my session, I’ll share how to design OKR processes that create truly self-driven teams — where everyone’s unique strategic strengths can shine.
🎟 Want to join me at the Summit?
I'd love to share tickets for you and a guest for access to the virtual summit...
#OKRs #Strategy #OKR #Neurodivergence #Neurodiversity #ADHD #ActuallyAutistic #AuDHD #Introversion
Your organization’s greatest strategic assets may be hiding in plain sight.
That’s the heart of my upcoming talk at the World OKR Summit:
"Unblocking Your Team’s Inner Strategists: No-BS OKRs for Neurodivergent and 'Square Peg' Professionals"
OKRs aren’t just a performance tool. They’re scaffolding — clarity structures that help ✨every✨ employee have a chance to thrive.
#OKRs #Strategy #WorldOKRSummit #OKR #Neurodivergence #Neurodiversity #ADHD #ActuallyAutistic #AuDHD #Introverts
"OKRs graphs don't make your teams more focused. Repeated conversations about the goals do."
Identify 2-3 key results that would objectively demonstrate progress toward your objective.
Read more 👉 https://lttr.ai/Ahd1A
"KPIs tell you how you're doing. Key results challenge you to make things better."
Read more 👉 https://lttr.ai/AiynR
Your KPIs are the vital signs you're monitoring. Your Key Results are the specific targets you're actively pursuing during a goal period.
Read more 👉 https://lttr.ai/AiQQ1
Today we're going to flip the script on these things that tend to lead to challenged OKR implementations when it comes to taking the software-first approach.
Read more 👉 https://lttr.ai/Ahdyy
KPIs are like your business vital signs—the metrics you monitor to make sure everything's functioning properly.
Read more 👉 https://lttr.ai/Aiife
Here's what I encourage instead: start with the question, 'What's actually most important to achieve measurably?
Read the full article: OKR vs KPI: Understanding the Key Differences
â–¸ https://lttr.ai/AiQQz
Objectives and Key Results (OKRs) are a goal-setting framework designed to boost clarity, focus, and alignment in organizations.
Read more 👉 https://lttr.ai/Ahdwh
When teams focus on activity-based key results, they often find themselves very busy with no clear sense of whether they're making meaningful progress.
Read more 👉 https://lttr.ai/Ahd1j
Here's the critical distinction: OKRs are designed for areas where you need to grow, transform, innovate, or improve—not for steady-state maintenance work.
Read more 👉 https://lttr.ai/Ahd0a
Key results should measure the change you want to create, not the work you plan to do.
Read more 👉 https://lttr.ai/Ahd07
Today's topic is one of the spicy ones, especially because I have a lot of friends who are with the OKR platforms,And I do love and think very highly of the OKR platform space, even though I don't play in that space too terribly often.
Read more 👉 https://lttr.ai/Ahdyv
Blueprints are out, Wind tunnels are in
LLMs collapse the product loop
Two weeks, two side projects, two very different partners: one deep in code, the other steeped in business ops. Building with both made something obvious: large language models aren’t just engineering accelerants. They collapse the entire product loop.
For the past decade, most teams have organized around a trinity – PM, UX, Eng. Because engineering was scarce and expensive, we optimized for engineering leverage. The culture drifted toward documents and handoffs: PRDs, mocks, design docs, reviews. “Handoff” became the milestone; building became the after-party. As a result, learning from customers slid months to the right.
Somewhere in there, “throwaway work” became a slur. Prototyping without a path to production was treated as waste. The best engineers quietly ignored that taboo, hacked something together, and came back with actual signal. Everyone else waited for the next review.
LLMs change the math. They parallelize the trinity and radically reduce the cost of being wrong.
- PM can draft a crisp one-pager, expand risks and edge cases, and generate three experiment plans in an afternoon.
- UX can turn that one-pager into clickable flows and alternative microcopy the same day.
- Engineering can scaffold a fake backend, wire in guardrails, and instrument a demo by day two.
The point isn’t that AI writes production code; it shrinks time-to-signal. Treat prototypes as wind-tunnel models: not for flying, for learning how air hits your wing.
A faster loop, by role
- PM: Use LLMs to create the first PRD draft, enumerate unknowns, and produce testable hypotheses. Generate interview guides and summary memos so insights move.
- UX: Translate hypotheses into mid-fi flows, produce microcopy variants, and run task simulations. Build a click/tap-through that captures the core choice you need users to make.
- Eng: Ask the model for scaffolding, contract tests, and a stubbed data layer. Auto-generate a design-doc outline from code comments as you go. Instrument from day zero.
Run a 72-hour Learning Sprint: build just enough to put in front of five users. Kill fast or iterate. “Throwaway” code is paid research.
Change the scoreboard
If we continue to (over) optimize for engineering utilization, we will keep writing documents. If we optimize for learning, we will ship smaller bets – faster. Here are some metrics that might help you think about it better:
- cycle time for a validation signal
- learning velocity (meaningful insights / week)
- percent of bets killed quickly (and cycle time to bet killing)
- prototype half-life (time until learnings hit prod)
- alignment drift (features without a link to a top level outcome)
Make OKRs smaller and more numerous. Measure the loop, not the launch. Celebrate the team that invalidates shiny idea in 3 days.
Regulated shouldn’t mean slow
Finance and health have longer cycles, but the pattern should hold.
- Try compliance sandboxes with anonymized / synthetic data; log prompts and outputs
- Learn from the crypto gang: let’s enable policy-as-code gatekeeping for prototypes
- Generate pre-read packs for the legal and compliance gang to bring them along
- Get compliance to be part of witness tests to get them to break the prototype
For the long term, we have to bring the regulators along also and we need them to move from blockers -> collaborators.
Make product fun again
The joy of product is the rapid loop: talk to users, build a little, learn a lot. LLMs give that loop back. Use them to parallelize the trinity, to lower the cost of being wrong, and to move learning left. Optimize for time-to-signal, and the rest of the process starts behaving.
Ship the loop, not the doc.
#ai #aiInProductManagemement #design #eng #engineering #llmPrototyping #llms #okrs #pm #pmUxEngineering #prd #product #productLifecycle #productManagement #prototyping #startups #ux #uxr #velocity #visualDesign
Objectives and Key Results (OKRs) are a goal-setting framework designed to boost clarity, focus, and alignment in organizations (and for people).
Read more 👉 https://lttr.ai/Ahdwc
When teams focus on activity-based key results, they often find themselves very busy with no clear sense of whether they're making meaningful progress.
Read more 👉 https://lttr.ai/Ahdsx
If your strategic plan lives in a deck or doc no one opens...it's not necessarily your fault.
(That's actually painfully normal.)
Why?
Most orgs skip the part that actually connects strategy to behavior. That's the gap my Connected Strategic Stack fills.
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