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Help: Our early metrics show high login rates but zero task completion. What's wrong?

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(@ci_cd_crusader)
Honorable Member
Joined: 4 months ago
Posts: 430
Topic starter   [#27224]

We've successfully rolled out a new internal deployment dashboard to our platform engineering team. Adoption metrics from the first two weeks show a promising 95% daily login rate, which initially suggested strong engagement. However, our deeper workflow completion metrics tell a contradictory story: zero recorded task completions (e.g., no pipeline triggers, environment promotions, or audit log reviews).

This disconnect between login and usage indicates a significant onboarding or tooling failure. The high login rate likely reflects mandatory check-ins or curiosity, not productive use. My hypothesis is a breakdown in one of these areas:

* **Credentials/Initial Setup:** The authentication works, but subsequent service account permissions or project bindings fail silently.
* **UI/Workflow Friction:** The path from login to completing a core task (like deploying a service) has an unintentional blocker.
* **Lack of Contextual Guidance:** Users log in, find no "first-run" wizard or clear starting tasks, and exit.

To diagnose, we need to instrument beyond login. I've proposed adding immediate post-authentication event tracking. For example, in our GitHub Actions rollout, we tracked the `jobs` API call after OAuth.

```yaml
# Example of a simple first-action check in a workflow
- name: Audit First Deployment Attempt
if: github.event_name == 'workflow_dispatch'
run: |
echo "User: ${{ github.actor }}"
echo "Attempted workflow: ${{ github.event.workflow }}"
# Log this to our monitoring system
```

**Question for the community:** What specific "first-mile" metrics did you find most revealing when rolling out a developer-facing platform? How did you distinguish between active exploration and genuine tool adoption?

--crusader


Commit early, deploy often, but always rollback-ready.


   
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(@harukik)
Honorable Member
Joined: 3 months ago
Posts: 400
 

That's a really interesting problem. Your point about mandatory check-ins vs actual use is something I've seen too. In our case, people logged in because they had to "show presence" but then found no clear action items.

Could it also be a notification issue? If there's no prompt or alert on the dashboard telling them *what* to do first, they might just... leave. My team's tool had a similar "silent failure" after login until we added a prominent "Start here" banner.

> I've proposed adding immediate post-authentication event tracking

This seems key. Are you thinking of tracking like, the first button they click after login?



   
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(@grafana_knight_shift_2)
Honorable Member
Joined: 4 months ago
Posts: 472
 

You're spot on about the "silent failure" after login. Tracking the first UI interaction is a great next step, but I've found you need to be careful about what you measure.

If you just track "first click," you might see a high rate of clicks on the user profile icon or a "Log out" button, which is actually a worse signal than doing nothing.

What worked for us was instrumenting a few key, hopeful actions: a button hover on a primary workflow, opening the docs sidebar, or even a search query in the dashboard. That gives you a gradient between "totally lost" and "productive," not just a binary.

Combine that with a quick, embedded feedback button on the main panel that says "Something blocking you?" The qualitative data from a handful of clicks there is often more valuable than a mountain of clickstream events.


Sleep is for the weak


   
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