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ToxSec's avatar

“If I could write a letter to my younger self, I would tell him to do everything in his power to learn it. Yes, I’ve only just begun to think this way, but it’s already bearing fruit.”

Really great takeaway. I agree, this is the way.

Efe Ogolo's avatar

really loved this!

Christian Steinert's avatar

Wow, so well broken down. For sure banking this skill as a focus to further develop! Thank you Ergest!

Sean Atkinson's avatar

Really enjoyed reading this!

I saw you mention the idea of leverage points on LinkedIn this week, but I deeply appreciated your elaboration on that thought here.

Your focus on understanding them through cases brings to mind the calibration method I was first introduced to through Cedric’s writing on Commoncog.

I think you’ve tapped into something special here. Excited to see where this goes.

Ergest Xheblati's avatar

Yes it’s very much related to the calibration method that Cedric talks about

Joe Hovde's avatar

really enjoyed this! I bought Growth Levers and How to Find Them; agree that case studies are the best inspiration

Sergey's avatar

Yes, this is a fascinating theme and there is so much to unpack! Can't wait to read your follow-up studies.

In my experience, another excellent source of inspiration for finding leverage points is staying close to all the data that goes into business reviews. There is a treasure trove of contextual finds often begging to be turned into hypotheses that will validate some as insights. We both know metric trees will come to the rescue. :)

When it comes to individual metrics, I see a lot of potential in using data cubes for automated insight discovery. The big players have been using it for years (e.g. blog post below) but I don't see much adoption or even understanding of this topic in the general field. Would love to get your thoughts about it and happy to chat anytime!

https://www.linkedin.com/blog/engineering/analytics/analyzing-anomalies-with-thirdeye

Bryan Corder's avatar

Just dropping a comment to let you know I enjoyed the article enough to read it to the end.

Ergest Xheblati's avatar

Thank you that means a lot!

Amir's avatar

Thank you for this insightful thread !