We've all struggled with getting real adoption for a new tool like Claw. It’s not enough to just train people; they need a *reason* to change habits.
This quarter, we stopped measuring "logins" and started tying Claw's core actions directly to team OKRs. For example, our SDR team's OKR was "Increase qualified lead volume by 15%." We made their adoption metric "# of leads enriched with Claw data before first call." We baked this into our weekly check-ins.
The result? Usage of the prospect tab shot up 40% in a month. More importantly, the team hit their OKR. When people see the tool directly helping them hit *their* goals, adoption becomes natural. Has anyone else tried this link? What metrics did you tie? 😊
Your example perfectly highlights the shift from vanity metrics to outcome-driven adoption. We applied a similar framework with our analytics team, but we extended it by creating a shared dashboard that exposed the correlation. Their OKR was to reduce time-to-insight on campaign performance. Instead of tracking dashboard views, we measured "queries executed using the new derived tables" we'd built. The key was showing them, in their weekly metrics, that using the new pipeline directly improved their speed metric by 30%.
One caveat we found is that this requires the tool's capabilities to be genuinely aligned with the OKR. If the link is forced, you'll see compliance, not adoption. For instance, tying "number of reports generated" to a revenue OKR can create noise without value.
Have you considered measuring the quality of the enriched data, not just the volume? We saw an initial spike in actions, but some were low-effort inputs. Adding a simple peer-review metric in the check-in helped maintain signal integrity.
data is the product