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At @Amplitude_HQ, I end up talking with lots of teams about "data" and being/becoming more "outcome focused". Here are a couple patterns from the last 12mo:

1/10. Teams often see data as a trust proxy, when in fact you need more trust/safety to face disconfirming insights
2/10. Teams seem to routinely talk themselves out of "using data" bc they aren't [insert massive scale B2C company here]. I make a real effort here to describe what healthcare, logistics, enterprise B2B etc. are doing to offer some inspiration.

All teams make decisions.
3/10. Many teams go through a "data driven" phase, only to realize that they've lost sight of the customer/user/strategy. Then they revolt against quant. The pendulum swings.

The real shift is connecting ALL learning/measurement to a powerful, human-relatable mission
4/10. I'm seeing a shift in thinking among senior engineering leaders. More product-centric. More strategic. Less defensive about using 3rd party technologies/products. They see the need.

This mirrors front-line eng and designers who are pushing for more clarity around impact.
5/10. There's a shift from siloed "data" teams ("Answers/Dashboards as a Service") to self-service. But that has given rise to: "Data Literacy as a Service". Which involves teaching and advocacy. This is true for both qual and quant.

It is a big shift.
6/10. "Start w/questions" is important. So is the related "start with decisions". But forming questions takes iteration as well. This is the trap of the dashboard-ification / KPI-ification of "using data". You lose exploration, iteration, refinement that went into forming the Q.
7/10. Lots of teams are stuck measuring linear, short-term funnels (e.g. landing page optimization, or signup). They are missing out on the deeper story / more complex questions related to customer lifetime value, job efficacy (for B2B), long-spanning experiences, etc.
8/10. Use of a certain class of products is becoming a prerequisite for some people taking product related roles. This is wild, and telling. An @Amplitude_HQ user recently explained to me that they had passed on two offers because of incomplete tooling/support.
9/10. A pattern: super long data warehousing/lake/mart efforts that keep promising to "connect all the things", but can't keep up w/ the shifting landscape and what's needed by the product.

Eng leader: "We may be forgetting the Why here, and have turned this into a big project"
10/10. Finally, the back to the human angle. Pride. Sense of impact. A job well done. Intellectual honesty. Ppl want to make a difference in their work.

This is what inspires me (personally) every day...the degree to which ppl want to improve how they work, and their impact.
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