01
Intent Logging
When a user asks for help, Adoption Layer stores the question, page context, and guidance steps for review.
See the question behind the drop-off.
Analytics tell you where users leave, not what they were trying to do. Adoption Layer captures help requests with the screen context, so UX can see the question behind the drop-off.
Drop-off data misses the user's goal
You can see users abandon a flow, but metrics don't say why and NPS is too blunt to tell you. UX teams need the goal, the screen, and the thing that blocked them.
A recurring team moment
"A user clicks around the 'Settings' page trying to find API key generation, then asks the widget: 'Where is my API key?' Adoption Layer guides them and logs the session as a UX signal. The team can turn that pattern into a Linear task when the issue repeats."
UX signals from help requests
02
AI Categorization
The AI categorizes friction into UX, CX, or Dev issues, filtering out the noise.
03
Workflow Dispatch
Friction insights can be dispatched to Linear, Jira, GitHub, or Slack when they are ready for follow-up.
04
Temporary Guides
While you design a permanent fix for a confusing screen, deploy a proactive hint to guide users in the meantime.
How it compares
Session replay shows behavior, but intent is still a guess. Adoption Layer starts from the user's actual help request and turns it into a structured friction insight without recording video.
How it fits the team's operating rhythm
Covered workflows
- Identifying confusing navigation patterns
- Tracking form abandonment reasons
- Validating new feature rollouts
- Gathering contextual, in-the-moment user feedback
What to expect
You get a clearer list of design problems to investigate. Instead of relying only on intuition, you can point to repeated help requests, low ratings, and failed guidance sessions.
Setup and privacy
Install the widget and configure insight dispatch for tools such as Linear, Slack, Jira, or GitHub. Adoption Layer stores guidance context rather than video replay, which keeps the review focused on user questions and UI structure.
Frequently asked questions
Does this replace session replay tools?
No. It gives you a different signal: the user's question, page context, guidance result, and rating. It can reduce how much replay footage you need to review.
How does it categorize feedback?
The AI analyzes the user's request and the DOM context, then tags the insight (e.g., UX confusion, technical bug, missing feature).
Can I send insights to my issue tracker?
Yes. Adoption Layer integrates directly with Linear, Jira, GitHub, and Slack.
Will it annoy users?
No. Insights come from guidance sessions, ratings, and failed answers, not from intrusive prompts.