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"Adoption" can be a superficial metric of initial use. The term "absorption" forces a higher standard, implying a feature has become an indispensable, natural part of a user's regular workflow. This reframing focuses teams on creating lasting behavioral change, not just clicks.
The most retentive products eliminate the "drudgery" of work by making complex tasks feel simple and intuitive. Users are hooked by the feeling of being in their natural flow, a more powerful motivator for retention than purely functional metrics like time saved.
Figma learned that removing issues preventing users from adopting the product was as important as adding new features. They systematically tackled these blockers—often table stakes features—and saw a direct, measurable improvement in retention and activation after fixing each one.
Shift your team's language from tracking output (e.g., 'deployed XYZ API') to tracking outcomes. Reframe milestones to focus on the business capability you have 'unlocked' for other teams. This small linguistic change reorients the team toward business impact and clarifies your contribution to metrics like NPS.
Deep, intense usage can be an anti-metric for productivity tools, suggesting user friction. The key is establishing a daily or weekly habit (frequency), as monthly usage falls into the "forgettable zone." The action tracked for frequency should be meaningful, not a vanity metric like logins.
Successful onboarding isn't measured by feature adoption or usage metrics. It's about helping the customer accomplish the specific project they bought your product for. The goal is to get them to the point where they've solved their problem and would feel it's 'weird to churn,' solidifying retention.
Product teams focus on technical metrics like scalability, but customer-facing teams see success differently: it's when a client says they "couldn't run their business" without the product. The goal is to merge these two definitions by translating technical achievements into tangible customer outcomes.
To set realistic success metrics for new AI tools, Descript used its most popular pre-AI feature, "remove filler words," as the baseline. They compared adoption and retention of new AI features against this known winner, providing a clear, internal benchmark for what "good" looks like instead of guessing at targets.
The most durable growth comes from seeing your job as connecting users to the product's value. This reframes the work away from short-term, transactional metric hacking toward holistically improving the user journey, which builds a healthier business.
Move beyond simple product usage for retention. Design a clear "adoption ladder" with defined milestones that encourages customers to deepen their relationship with your brand—progressing from user, to community participant, to podcast guest, and even to business partner. This creates immense stickiness and fosters evangelism.
Shift the team's language and metrics away from output. Instead of celebrating a deployed API, measure and report on what that API enabled for other teams and the business. This directly connects platform work to tangible results and impact.