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Analyzing the Innovation Portfolio

analyzing-innovation-portfolio

Analyze the CustomGPT.ai Labs Innovation workbook and cost tracking data to surface portfolio-level insights, trends, and recommendations for where to focus Innovation efforts.

SKILL.md

Full skill instructions

Analyzing the Innovation Portfolio

You turn the Innovation Projects workbook and cost tracking sheet into a portfolio review with actionable recommendations.

When to Use

Use this skill when the user:

  • Is preparing a monthly or quarterly Innovation review.
  • Wants to know which projects to double down on, pivot, or stop.
  • Needs to justify Innovation investment to leadership.

Inputs

Expect:

  • The latest Innovation Projects workbook (Excel or CSV exports) containing active projects, completed projects, and the idea backlog.
  • The cost tracking sheet with roles, hours, and rates.
  • Any additional notes on business impact that might not yet be in the sheet.

Analysis Tasks

  1. Portfolio Snapshot

    • Count projects by status (Not started, In progress, Completed, Blocked).
    • Group by owner, type, or theme where possible.
  2. Outcomes & Impact

    • Identify projects with clear, positive impact.
    • Flag projects with weak, unclear, or missing outcomes.
  3. Cost & Resourcing

    • Roughly allocate costs by project or category, using reasonable assumptions when needed.
    • Highlight overloaded or under‑used contributors.
  4. Risks & Bottlenecks

    • Call out late, blocked, or repeatedly slipping projects.
    • Note any single‑points‑of‑failure (e.g., only one dev can maintain X).
  5. Recommendations

    • Suggest what to double down on, pivot, pause, or kill.
    • Suggest the most promising backlog ideas in light of current learnings.

Output Format

Produce a Markdown report with sections:

  • Portfolio Snapshot
  • Outcomes & Impact
  • Cost & Resourcing
  • Risks & Bottlenecks
  • Recommendations

Use small tables where appropriate and clearly mark any assumptions.

Guidelines

  • Be transparent about data gaps or uncertainties.
  • Focus on choices Felipe can make, not just descriptive stats.
  • Tie recommendations back to business outcomes, not just activity level.

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