Discover and read the best of Twitter Threads about #OKRs

Most recents (4)

How everyone on the @GoogleStadia team accomplished their #OKRs before Q3 closed:

1/ 2am - New UI launched.
2/ Noon - execs shut down the product
1/ New UI, prominent cards and more! Big “win” for Eng, PM, Design. Likely few promotions will be granted based on this work. Image
2/ Execs had a cost-cutting objective but let the team go on a sprint to launch the new UI, calling emergency meetings minutes before the public announcement…

Exec rating: exceeded expectations. Image
Read 7 tweets
Ep 68 is out!

@beznahej talks about implementing an OKR performance management system to set&track goals in a meaningful way.

Check out the full interview:
codingsans.com/blog/okr-perfo…

Hosted by @FancyKarolina, powered by @codingsans

#EngineeringManagement #leadership #OKRs
Here are a few takeaways:

1. Focus on the bigger picture

When engineers work on a piece of code, they don't see how it contributes to North Star goals. OKRs help them see the bigger picture, so they'll value their own contribution more.
2. Customize OKRs

An OKR performance management system works best if you tailor it to your team's needs. Be patient when you introduce OKRs, have discussions to see what works and what needs to be changed, and welcome questions and suggestions from everyone.
Read 6 tweets
Checkin to #OKRForum2022

Looking forward to learning a lot. @meetfelipe is up first with

"Who do some companies success with #OKRs while others fail?"

Note: Felipe is militantly "outcomes over outputs"
"OKRs are plumbing as well as poetry" - @meetfelipe

Plumbing is messy and takes time, not as 'cool' as poetry. So most organisations neglect plumbing.

Plumbing means changing the traditional ways of working to suit OKRs.

#OKRForum2022
OKRs took off in companies that

🔸focus on outcomes
🔸autonomous teams
🔸understand customer/business needs
🔸data-driven
🔸run experiments

This is different from the traditional Goals → Projects approach of traditional model of working.

#OKRForum2022
Read 6 tweets
Guy's really onto something here.

'#DataDriven' contains a bunch of assumptions worth challenging, not least that #data is not #truth - it is only what you #choose or are able to #measure.

And, as well as being a way to avoid thinking - just set your #OKRs (or increasingly...
...pick your training dataset & model) and iterate until something breaks - '#DataDriven' is an insidious way to avoid #accountability: "We're just doing what the data says!"

Of course, the flipside of that is there is then no excuse NOT to be #transparent; why hide the data...
...if your contention is that it represents 'the #truth'?

Maybe Mr Cummings et al. should beware what they wish for, as - far from building #trust - systematically concealing #evidence tends to have the opposite effect.

If you think about it.
Read 3 tweets

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