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MCP pour équipes produit : backlog, priorisation et communication parties prenantes

Product teams need to translate inputs into actionable tasks, write clear acceptance criteria, prioritize effectively, and communicate with stakeholders. This guide covers backlog management, acceptance criteria, stakeholder updates, and how to avoid over-automation while keeping human review in the loop.

Product Team Challenges

Backlog Management

  • Feature requests
  • Bug reports
  • User feedback
  • Technical debt
  • Prioritization

Stakeholder Communication

  • Status updates
  • Progress reports
  • Roadmap communication
  • Feature announcements
  • Timeline updates

Translating Inputs into Tasks

From Feature Request to Task

✅ Input Translation Workflow

  1. AI receives feature request or user feedback
  2. AI analyzes and breaks into actionable tasks
  3. AI creates tasks with clear descriptions
  4. AI suggests acceptance criteria
  5. AI assigns to appropriate team members

Example: Feature Request

Input: "Users want to be able to export their data as CSV"

"Create tasks for the CSV export feature. Break it down into: API endpoint, frontend UI, testing, and documentation. Add acceptance criteria for each task."

Result: Multiple tasks with clear scope and acceptance criteria

From Bug Report to Task

Bug Triage Workflow

"Create a task for this bug: 'Users report login fails on Safari'. Add acceptance criteria: 'Login works on Safari, tested on latest version.' Set priority based on impact."

Use Case: Converting bug reports into tracked tasks

Writing Clear Acceptance Criteria

Acceptance Criteria Best Practices

What Makes Good Acceptance Criteria

  • Specific: Clear, unambiguous requirements
  • Testable: Can be verified as complete
  • Measurable: Success criteria are defined
  • Achievable: Realistic and attainable
  • User-Focused: Describes user value

AI-Assisted Acceptance Criteria

"For the CSV export feature task, suggest acceptance criteria. Include: file format, data completeness, error handling, and user experience requirements."

Example Acceptance Criteria

Feature: CSV Export

  • ✅ User can click "Export CSV" button
  • ✅ CSV file downloads with correct filename
  • ✅ All user data is included in export
  • ✅ CSV format is valid and opens in Excel
  • ✅ Export handles large datasets (10k+ rows)
  • ✅ Error message shown if export fails

Prioritization

Backlog Prioritization

AI-Assisted Prioritization

"Review all tasks in the backlog. Prioritize based on: user impact, business value, technical complexity, and dependencies. Show me the prioritized list."

Priority Factors

  • User impact and value
  • Business objectives
  • Technical dependencies
  • Resource availability
  • Timeline constraints

Stakeholder Updates

Progress Reports

✅ Automated Stakeholder Reports

"Generate a stakeholder update for Q2 roadmap. Include: completed features, in-progress work, blockers, and timeline updates. Format for executive review."

Result: Professional stakeholder-ready report

Roadmap Communication

Roadmap Updates

"Create a roadmap update showing: what's shipped this quarter, what's planned for next quarter, and any timeline changes. Include visual timeline if possible."

Avoiding Over-Automation

When Human Review is Critical

⚠️ Always Review Before:

  • High-Impact Decisions: Features affecting many users
  • Priority Changes: Major shifts in roadmap
  • Stakeholder Communications: External-facing updates
  • Resource Allocation: Team assignments and timelines
  • Strategic Decisions: Product direction changes

Safe Automation Patterns

✅ Safe to Automate

  • Task creation from structured inputs
  • Status updates based on clear criteria
  • Time tracking and logging
  • Data aggregation and reporting
  • Routine task organization

⚠️ Require Human Review

  • Priority decisions
  • Stakeholder communications
  • Resource allocation
  • Strategic roadmap changes
  • High-impact feature decisions

Human Review Workflow

Review Before Execute

  1. AI proposes action or decision
  2. AI explains reasoning and impact
  3. Human reviews proposal
  4. Human approves, modifies, or rejects
  5. AI executes only after approval

Best Practices

Backlog Management

  • Keep backlog organized by priority
  • Regularly review and update priorities
  • Archive completed or obsolete items
  • Maintain clear task descriptions

Communication

  • Regular stakeholder updates
  • Clear progress reporting
  • Transparent about blockers
  • Timeline communication

Getting Started

Product Team Setup Steps

  1. Create Corcava API key
  2. Set up projects for product areas
  3. Create backlog organization structure
  4. Configure stakeholder reporting workflows
  5. Train team on acceptance criteria standards

Related Resources

Clarity and Communication

Use MCP to maintain backlog clarity, write clear acceptance criteria, and communicate effectively with stakeholders