Notion Spec-to-Implementation

Use This Skill When

• Converting product specs into actionable engineering tasks
• Documenting feature requirements and acceptance criteria
• Tracking technical design and implementation progress
• Communicating between Product and Engineering
• Managing feature scope and preventing scope creep
• Documenting decisions about feature implementation

When NOT to Use

• Bug tracking (use separate system)
• Ad-hoc task management (lightweight features OK)
• Highly complex systems (use dedicated design docs)

Context: Spec-to-Implementation Maturity

Undeveloped: Vague specs; misalignment between Product and Eng; surprises at end.

Target: Clear specs, acceptance criteria, technical design, linked to implementation.

Optimized: Automated acceptance testing, automated scope tracking, continuous alignment.

Core Principle

Clear specs prevent rework. Detailed specifications with acceptance criteria and technical design reduce surprises and rework between Product and Engineering.

Instructions

Step 1: Product Spec Template

Create Notion database for specs:

## Feature Spec

**Feature Name**: [User-facing feature name]
**Epic**: [Which larger initiative this belongs to]
**Status**: [Proposed / Approved / In Design / Ready for Dev / In Progress / Launched]

**Business Case**:
- Problem: [What user problem does this solve?]
- Target User**: [User persona]
- Expected Outcome: [How do we measure success?]

**Feature Description**:
[Detailed description of what this feature does from user perspective]

### User Stories
1. As a [user type], I want to [action], so that [benefit]
2. As a [user type], I want to [action], so that [benefit]

### Acceptance Criteria
- [ ] Criterion 1: [Specific, testable requirement]
- [ ] Criterion 2: [Specific, testable requirement]
- [ ] Criterion 3: [Specific, testable requirement]

### Out of Scope
- [Explicitly exclude these to prevent scope creep]

Step 2: Technical Design

## Technical Design

**Assigned To**: [Engineering Lead]

**Design Approach**:
[1-2 paragraph explanation of how this will be built]

**Architecture**:
[ASCII diagram or description of system components affected]

**Database Changes**:
- [ ] New table: [Table name with schema]
- [ ] Modify table: [Changes]

**API Changes**:
- [ ] New endpoint: `POST /api/feature`
- [ ] Modified endpoint: `GET /api/resource`

**Frontend Changes**:
- [ ] New component: [Component name]
- [ ] Modified component: [Component name]

**Third-party Integrations**:
- [ ] Required: [Service name]
- [ ] Optional: [Service name]

**Performance Considerations**:
- Expected QPS: [Queries per second]
- Latency target: [ms]
- Data size: [GB]

**Security Considerations**:
- [ ] Authentication required
- [ ] Authorization required
- [ ] Data encryption needed

**Rollback Plan**:
- How to revert if needed: [Approach]

Step 3: Implementation Tracking

## Implementation Tasks

| Task | Owner | Status | Size | Dependency |
|------|-------|--------|------|-----------|
| Backend: Create API endpoint | John | In Progress | M | None |
| Database schema migration | Maria | Not started | M | Backend API |
| Frontend: Build component | Sarah | Not started | L | Backend API |
| Testing: Write tests | Tom | Not started | L | All above |
| Documentation | John | Not started | S | Testing |

**Size Legend**: S (< 4h), M (4-8h), L (8-16h), XL (> 16h)

Step 4: Acceptance Testing

## Acceptance Testing

**Test Plan**:

| Test Scenario | Steps | Expected Result | Status |
|---------------|-------|-----------------|--------|
| Happy path | 1. Do X, 2. Do Y, 3. Check Z | Z shows success | [ ] |
| Edge case 1 | 1. Do X with empty input | Error message shown | [ ] |
| Edge case 2 | 1. Do X with max data | No timeout | [ ] |

**Acceptance Criteria Verification**:
- [ ] Criterion 1: Tested and passes
- [ ] Criterion 2: Tested and passes
- [ ] Criterion 3: Tested and passes

Step 5: Launch Checklist

## Pre-Launch Checklist

**Technical**:
- [ ] All tests passing
- [ ] Code reviewed
- [ ] Performance tested
- [ ] Security reviewed
- [ ] Monitoring/alerts configured
- [ ] Rollback procedure tested

**Product**:
- [ ] Product sign-off
- [ ] Documentation complete
- [ ] Help content updated
- [ ] Marketing/comms ready

**Operational**:
- [ ] Database migrations prepared
- [ ] Deployment runbook created
- [ ] On-call engineer briefed
- [ ] Metrics dashboard created

Step 6: Post-Launch Monitoring

## Post-Launch Tracking

**Metrics to Monitor**:
- Adoption rate: [% of users trying feature]
- Error rate: [% of requests failing]
- Performance: [Response time, p95 latency]
- User feedback: [Sentiment, NPS]

**Launch Day Actions**:
- 9am: Deployment + monitoring
- 10am: First user adoption wave
- 12pm: Check metrics and error rates
- EOD: Summary and findings

**30-Day Retrospective**:
- Did we hit adoption targets?
- Were there unexpected issues?
- What would we do differently?

Output

Deliver:

1. Product Spec (feature description, acceptance criteria)
2. Technical Design (architecture, implementation approach)
3. Implementation Tracking (tasks, owners, status)
4. Acceptance Testing (test plan and results)
5. Launch Checklist (pre and post-launch verification)