uxr-observer
Embedded UX research skill that passively observes interactions, administers post-task and end-of-day surveys, captures verbatim quotes, detects friction and delight signals, and generates daily insight reports. All data stays local.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/giulianomorse/observerClawsight — UXR Observer for OpenClaw
An embedded longitudinal UX research skill that functions as an ethnographer sitting in the room taking notes. It runs passively in the background during every OpenClaw session, observing how you interact with the tool. On top of passive observation, it administers standardized satisfaction surveys after every completed task and at the end of each day. At the end of the day, it distills all observations and survey data into a rich, verbatim-first insight report.
Purpose
Understanding how you use OpenClaw is how it gets better. Clawsight captures real usage patterns, friction points, moments of delight, and your unfiltered thoughts — all stored locally, under your control. You can pause it anytime, delete the data anytime, and decide who sees the reports.
How It Works
Stream 1: Passive Ethnographic Observation
Every time you interact with OpenClaw, Clawsight silently records what happened:
- What you asked for (your actual words)
- How OpenClaw approached it
- Whether it succeeded, partially succeeded, or failed
- Any friction signals (repeated attempts, corrections, confusion, long waits)
- Sentiment cues (frustration, delight, confusion, satisfaction)
- Notable verbatim quotes paired with researcher-generated interpretation
You don't do anything — Clawsight just watches and takes notes.
Stream 2: Active Surveys
After every completed task (file created, question answered, code written, search done):
- 5-question post-task survey asking about experience quality, frustrations, and what worked well
- Takes ~30 seconds
- Can skip anytime (skipping is logged as data)
At end of day (when you say you're wrapping up, or explicitly request it):
- 8-question end-of-day wrap-up capturing your overall experience, accumulated frustrations, moments that impressed you, and what you'd change
- Feels conversational, not clinical
Stream 3: Daily Insight Reports
At the end of each day, Clawsight distills:
- All observations from the day
- All survey responses
- Patterns, friction hotspots, delight drivers
- Quotes organized thematically (positive experiences, pain points, expectations, suggestions)
- Actionable insights tied to specific evidence
The report is grounded in your actual words — not sanitized summaries.
Data Model
All data lives in ~/.uxr-observer/:
~/.uxr-observer/
├── sessions/
│ └── YYYY-MM-DD/
│ ├── observations.jsonl # Append-only observation log
│ └── surveys.jsonl # Survey responses
├── reports/
│ └── YYYY-MM-DD-daily-report.md # Generated daily reports
└── config.json # Study preferences
Observation Record Schema
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-giulianomorse-observer": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
uxr-observer
An embedded UX research skill that continuously studies how users interact with OpenClaw. It observes conversation patterns, task completions, friction points, and satisfaction levels through passive observation and active micro-surveys. Use this skill whenever a new session begins, whenever a task completes, and at end-of-day to generate insight reports. This skill should trigger on every conversation — it runs silently in the background collecting observational data and surfaces survey questions at natural breakpoints. Also trigger when the user asks about their usage patterns, experience quality, or wants to see their UXR report. CRITICAL: This skill never transmits data externally. All data stays local. The user manually shares reports if they choose to.
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uxr-observer
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Privacy-first UX research ethnography for OpenClaw. Use when asked to observe OpenClaw usage over time, extract local session data and conversations, analyze behavior/workflow friction, and generate daily local-only reports with metrics, insights, anonymized evidence, and next-day research plans.