observing-users

Capture user feedback as hypothesis-first observations into Level 3 diagnostic canvases.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/0xHoneyJar/construct-observer --skill observing-users
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: observing-users
Source: https://github.com/0xHoneyJar/construct-observer/tree/main/skills/observing-users
Command: npx skills add https://github.com/0xHoneyJar/construct-observer --skill observing-users

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Capture user feedback as structured diagnostic observations using the Level 3 framework. Create or update individual user research canvases from feedback quotes.

Core Features & Use Cases

  • Create new canvases from quotes
  • Update existing canvases with Level 3 hypotheses
  • Load domain glossaries and maintain a Quotes Library
  • Workflow for provenance, promises tracking, journey fragments, and conversation frameworks

Quick Start

Run /observe with a user quote to create a complete observing canvas using the Level 3 framework.

Frequently Asked Questions about observing-users

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture user research quotes as hypotheses instead of conclusions?

User research quotes are transformed into structured Level 3 diagnostic hypotheses by loading raw feedback into an observing canvas. The Skill appends quotes, maintains a Quotes Library, and emits a FeedbackEvent.

What is the best way to structure user feedback into a diagnostic canvas?

User feedback is structured into a diagnostic canvas using the Level 3 framework, which organizes quotes into hypothesis-first observations. The Skill maintains provenance, tracks promises, and maps journey fragments for comprehensive analysis.

How do I add user feedback to an existing Level 3 research canvas?

To add user feedback to an existing Level 3 research canvas, run the observing workflow with a new user quote. The Skill updates the canvas with Level 3 hypotheses, propagates state through the laboratory, and emits a FeedbackEvent.

Does the user research workflow support Score API data for wallet enrichment?

The user research workflow supports Score API data by incorporating wallet data when available, rendering a Score Context section within the canvas. If enrichment data is absent, the workflow proceeds without it.

Can I track provenance and promises when observing user feedback?

Observing user feedback tracks provenance and promises natively within the Level 3 canvas workflow. The Skill maintains a domain glossary, logs journey fragments, and structures conversation frameworks alongside the captured quotes.

When should I not use a hypothesis-first approach for user research?

A hypothesis-first approach for user research should not be used when you need final conclusions rather than structured diagnostic observations. This Skill captures quotes as testable hypotheses to propagate state through a laboratory, not to finalize analysis.