# MyWork-AI Complete User Journey Test

**Test Date:** February 14, 2026  
**Version Tested:** MyWork-AI v2.3.0  
**Testing Perspective:** New user discovering MyWork-AI on PyPI  

## Executive Summary

**Overall UX Score: 8.2/10** - Good experience with some workflow issues

**What Works Well:**
- Polished visual design and clear command outputs
- Comprehensive feature set and good help text
- AI integration works smoothly
- Brain knowledge system is intuitive
- Doctor diagnostics are thorough and actionable

**What's Broken/Confusing:**
- Global vs local workspace confusion (major issue)
- Empty project scaffolding doesn't provide enough starter code
- Git integration assumes existing repository
- Some commands fail gracefully but don't guide next steps clearly

## Step-by-Step Results

### 1. Fresh Environment Setup ✅
**Command:** `mkdir /tmp/test-user && cd /tmp/test-user`  
**Result:** ✅ Success  
**UX Score:** 10/10  
**Notes:** Standard setup, works perfectly.

---

### 2. Installation Verification ✅  
**Command:** `mw --version`  
**Result:** ✅ Success - "MyWork-AI v2.3.0"  
**UX Score:** 9/10  
**Notes:** Clean version output with system info. Good.

---

### 3. Initial Setup ⚠️
**Command:** `mw setup`  
**Result:** ⚠️ Partially successful  
**UX Score:** 7/10  

**What Works:**
- Beautiful ASCII art banner
- Clear step-by-step progress
- Helpful next steps section
- Professional presentation

**Issues Found:**
- **MAJOR:** Claims ".env file already exists" and ".planning directory exists" when running in empty directory
- Looking at global install directory instead of current working directory
- New user would expect setup to create files locally
- Confusing for fresh projects

**Recommendation:** Setup should detect if running in empty directory and offer to create local config files.

---

### 4. Onboarding Tour ✅
**Command:** `mw tour --quick`  
**Result:** ✅ Success  
**UX Score:** 9/10  

**What Works:**
- Excellent progressive disclosure (step 1/6, 2/6, etc.)
- Comprehensive feature overview
- Real examples and commands
- Good balance of breadth vs depth
- Professional formatting

**Minor Issues:**
- Shows existing projects from main install (confusing for new user)
- Could benefit from actual demo data vs real user data

---

### 5. Project Creation ⚠️
**Command:** `mw new my-first-app`  
**Result:** ⚠️ Works but unexpected behavior  
**UX Score:** 6/10  

**Issues Found:**
- **MAJOR:** Creates project in `/home/Memo1981/MyWork-AI/projects/` instead of current directory
- New user would expect `./my-first-app/` 
- Breaking the principle of least surprise
- Next steps reference `/gsd:plan-phase 1` which doesn't exist as a command

**What Works:**
- Fast project creation
- Creates basic structure

**Recommendation:** Add `--local` flag to create in current directory, or make it the default behavior.

---

### 6. Project Initialization ✅
**Command:** `mw init` (in created project)  
**Result:** ✅ Success  
**UX Score:** 9/10  

**What Works:**
- Excellent project scanning and detection
- Creates proper MyWork config structure
- Helpful recommendations section
- Clear next steps
- Good use of emojis and color coding

**Minor Issues:**
- Could offer to run `git init` automatically

---

### 7. Health Diagnostics ✅
**Command:** `mw doctor`  
**Result:** ✅ Success  
**UX Score:** 10/10  

**What Works:**
- **EXCELLENT** - comprehensive analysis
- Professional medical theme
- Actionable recommendations
- Clear scoring system (90/100 Grade A)
- Covers security, dependencies, performance, docs, etc.
- Option to auto-fix issues (`--fix` flag)

**This is a standout feature** - better than most commercial dev tools.

---

### 8. AI Integration ✅
**Command:** `mw ai ask "How do I add a REST API?"`  
**Result:** ✅ Success  
**UX Score:** 9/10  

**What Works:**
- Provides relevant, practical Flask example
- Code samples are correct and well-formatted
- Includes testing examples with curl
- Mentions production considerations
- Response time is reasonable

**Minor Issues:**
- Could detect project context and suggest framework-appropriate solutions

---

### 9. Brain Knowledge Storage ✅
**Command:** `mw brain add "My first knowledge entry"`  
**Result:** ✅ Success  
**UX Score:** 8/10  

**What Works:**
- Simple, intuitive interface
- Auto-assigns unique ID (lesson-041)
- Sets appropriate status (EXPERIMENTAL)
- Clear confirmation message

**Minor Issues:**
- Could prompt for tags or categories
- Status workflow (EXPERIMENTAL → TESTED) not immediately clear

---

### 10. Brain Knowledge Search ✅
**Command:** `mw brain search "first"`  
**Result:** ✅ Success  
**UX Score:** 9/10  

**What Works:**
- **EXCELLENT** search results formatting
- Shows type breakdown (lesson: 1 matches)
- Color-coded results with metadata
- Clear entry display with dates and tags
- Helpful tips at bottom

**This is very well designed.**

---

### 11. Test Detection ❌
**Command:** `mw test`  
**Result:** ❌ Expected failure  
**UX Score:** 7/10  

**What Works:**
- Clear error message about supported languages
- Helpful guidance about project root directory

**Issues:**
- Empty project has no tests to detect (expected)
- Could offer to scaffold test structure with `--init` flag
- Error message could suggest `mw test --init` option

---

### 12. Git Integration ⚠️
**Command:** `mw git status`  
**Result:** ⚠️ Confusing behavior  
**UX Score:** 5/10  

**Issues Found:**
- **MAJOR:** Shows parent repository status instead of project status
- Displays `/MyWork-AI/.github/workflows/ci.yml` changes
- New user would expect project-specific git info
- Should detect if project has git repo and guide accordingly

**Recommendation:** Check for local `.git` directory first, offer to initialize if missing.

---

### 13. Deploy Preview ❌
**Command:** `mw deploy --dry-run`  
**Result:** ❌ Expected failure  
**UX Score:** 8/10  

**What Works:**
- **GOOD** error handling with clear explanations
- Lists all supported platforms with specific examples
- Explains what config files are needed
- Professional error messages

**Why Failed:**
- Empty project has nothing to deploy (expected)
- Good guidance for adding deployment configs

---

### 14. Quality Gate ✅
**Command:** `mw check`  
**Result:** ✅ Passes with skips  
**UX Score:** 8/10  

**What Works:**
- Clean status display
- Shows individual check results
- Fast execution
- Security check passes

**Notes:**
- Most checks skipped (expected for empty project)
- Good foundation for real projects with content

---

## Key Issues Identified & Fixes Needed

### 🔴 Critical Issues

1. **Global vs Local Workspace Confusion**
   - `mw setup` looks at global install directory instead of current directory
   - `mw new` creates projects in global location instead of current directory
   - **Impact:** Breaks new user expectations completely

2. **Git Integration Assumptions**
   - `mw git status` assumes project is in a git repository
   - Shows parent repo status instead of project-specific
   - **Impact:** Confusing output, not helpful for new projects

### 🟡 Important UX Issues

3. **Empty Project Scaffolding**
   - `mw new` creates minimal structure with no sample code
   - New users don't know what to do next
   - **Suggestion:** Add basic Hello World examples based on project type

4. **Command References That Don't Exist**
   - Setup mentions `/gsd:plan-phase 1` which isn't a valid command
   - **Impact:** User confusion and broken workflows

### 🟢 Minor Improvements

5. **Test Command Guidance**
   - Could offer `--init` flag to scaffold test structure
   - Better onboarding for empty projects

6. **Brain Workflow Clarity**
   - EXPERIMENTAL → TESTED status progression needs documentation
   - Could prompt for tags during entry creation

## Positive Highlights

### 🏆 Standout Features

1. **`mw doctor`** - Comprehensive, professional, actionable diagnostics
2. **`mw brain search`** - Beautiful formatting and excellent UX
3. **AI Integration** - Smooth, relevant responses
4. **Visual Design** - Consistent, professional styling throughout
5. **Error Messages** - Helpful and constructive (mostly)

### 🚀 Strong Foundation

- Command architecture is well-designed
- Feature coverage is comprehensive
- Help text is generally clear and useful
- Performance is good across all commands

## Recommendations for Improvement

### Immediate Fixes (Priority 1)

1. **Fix workspace behavior:**
   ```bash
   # Make setup create local config when in empty directory
   mw setup --local  # or detect automatically
   
   # Make new projects create in current directory by default
   mw new my-app --here  # or make it default
   ```

2. **Fix git integration:**
   ```bash
   # Detect local git repo first
   if ! git rev-parse --git-dir >/dev/null 2>&1; then
     echo "No git repository found. Run 'git init' first."
   fi
   ```

3. **Add sample code to scaffolding:**
   - Include basic "Hello World" files based on project type
   - Add simple test examples
   - Include basic documentation

### Enhanced Onboarding (Priority 2)

4. **Interactive project creation:**
   ```bash
   mw new --interactive  # Ask questions, generate appropriate structure
   ```

5. **Better empty project guidance:**
   ```bash
   mw test --init      # Scaffold test structure
   mw deploy --setup   # Guide through deployment setup
   ```

6. **Workflow validation:**
   - Test all referenced commands exist
   - Validate example paths in help text

## Final Assessment

**Overall Rating: 8.2/10** - Strong product with fixable workflow issues

**Strengths:**
- Comprehensive feature set
- Professional presentation
- Excellent diagnostics and AI integration
- Strong architectural foundation

**Critical Path to 9.5/10:**
- Fix global vs local workspace behavior
- Add meaningful sample code to scaffolding
- Improve git integration for new projects
- Test and validate all referenced commands

**User Journey Verdict:**
A new user would be impressed by the features and polish, but frustrated by the workspace behavior and empty scaffolding. With the critical fixes, this would be an excellent developer experience.

---

**Test Completed:** February 14, 2026  
**Tester:** Memo (SubAgent)  
**Environment:** Linux x86_64, Python 3.12.3  