Automate longitudinal diary studies to generate weekly user signals and experiment-ready product recommendations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install continuous-user-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install continuous-user-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Continuous User Research?
This skill empowers product teams to conduct continuous, in-context user research without the manual overhead. By leveraging Openclaw Skills, it runs lightweight diary studies that track user behavior over time—such as onboarding friction or feature habit formation—and synthesizes these entries into actionable weekly reports. It provides a structured bridge between qualitative feedback and quantitative metrics.
The framework ensures that research is grounded in evidence rather than one-off opinions. With built-in privacy safeguards and multi-channel support including Slack, Email, and Notion, it enables developers and PMs to scale their understanding of user motivations and friction points during critical journey stages.
Continuous User Research Use Cases
- Diagnosing onboarding drop-offs with in-the-moment behavioral context.
- Understanding feature usage frequency and habit formation over several days.
- Mapping multi-touchpoint user journeys from initial research to final purchase.
- Comparing user behavior across different devices, channels, or physical contexts.
- Identifying emotional triggers and motivations behind specific product tasks.
How Continuous User Research Works
- Define a specific research goal and decision-context tied to 3-7 research questions.
- Select a timing mode such as signal, event, interval, or mixed based on the frequency of the target behavior.
- Import participant candidates and manage automated consent and onboarding workflows.
- Execute the study by sending automated prompts and monitoring compliance daily with fallback mechanisms for missed entries.
- Apply analysis logic and saturation tests to raw entries to identify emerging themes and patterns.
- Generate a weekly signal report that includes evidence snippets and testable experiment plans.
Continuous User Research Setup
Configuration requires setting environment variables for storage paths and integration tokens. Ensure your Openclaw Skills environment is prepared with the following:
# Core environment configuration
export CONTINUOUS_USER_RESEARCH_PROFILE="core"
export RESEARCH_STUDY_STORAGE_RAW_PATH="/path/to/raw/entries"
export RESEARCH_STUDY_STORAGE_REPORTS_PATH="/path/to/redacted/reports"
export RESEARCH_REDACTION_SALT="your-unique-redaction-salt"
# Optional integrations
export RESEARCH_NOTION_TOKEN="your-token"
export RESEARCH_SLACK_BOT_TOKEN="your-token"
Continuous User Research Data Schema & Taxonomy
The skill manages data across restricted raw storage and public-facing reports to ensure privacy and auditability:
| Data Type | Storage Logic | Accessibility |
|---|---|---|
| Raw Entries | Restricted local or cloud path | Admin only; contains PII for recruitment |
| Redacted Reports | Public artifact path | Team-wide; all identifiers removed |
| Metadata | Internal audit logs | Tracks consent and compliance status |
| Multimedia | Restricted buckets | Signed URLs with time-limited expiry |
Continuous User Research Advanced Features
- Adaptive timing modes (Mixed) that combine interval baselines with specific event-based triggers.
- Automated privacy redaction engine using deterministic salt-based tokenization for all synthesized outputs.
- Built-in pilot mode for 24-hour internal validation of prompts and report quality before live launch.
- Intelligent incentive calculation with quality gates to prevent payout for low-information or duplicate entries.
- Direct ticket synchronization with Linear or GitHub to turn research signals into actionable dev tasks.
SKILL.md
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