Part 2 · Six weeks, one framework a week · 7 of 7
The Proof: Product Performance (Weeks 5–6)
Post-launch is where you spend the most effort: usage metrics, A/B tests, and feedback loops that evolve the SLO model and expand use cases.
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Weeks 5–6. Assign the highest proportion of the exercise to post-launch and adoption — this is where you learn how real users actually interact with the product.
- Usage metrics — impact and usage together. Is high usage justified? Should resources be optimized/de-provisioned? Is autoscaling working?
- A/B tests — run experiments across user segments to find the optimized path or feature.
- Feedback loops — without them, data efforts stay disorganized and disconnected from business impact. This is what closes the loop back to every earlier stage.
- Evolution — SLO evolution (better SLOs as you learn the real gaps) and use-case expansion (a data product is a hub — new use cases plug into the same metric tree).
Source: 6-Week Data Products Product Playbook.pdf
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