The goal of this project is to develop a data-driven evaluation system to determine which intellectual properties (IPs) are most ready and viable for licensing opportunities. Using Google Workspace tools, participants will assess 3–5 IPs based on brand presence, consumer sentiment, market trends, and category potential, then synthesize their findings into an interactive dashboard and insights report to support strategic decision-making for IP representation and partnerships.

Participants will deliver a strategic dashboard and supporting report that will help our organization make data-informed decisions about IP licensing and partnerships.

Tasks:

1. Define evaluation criteria for licensing readiness, including brand visibility, IP assets, social engagement, and market alignment.
2. Gather and analyze data from public or mock sources for 3–5 selected IPs.
3. Track consumer sentiment and trends using platforms like Google Trends, Reddit, and social media.
4. Identify top retail categories and seasonal alignment for each IP.
5. Score and compare IPs using a structured matrix to assess licensing potential.
6. Synthesize insights across all components to guide strategic decision-making.

Deliverables:

• Licensing Readiness Evaluation Matrix (Google Sheets)
• Consumer Sentiment & Trend Insights Report (Google Docs or Slides)
• Retail Category Opportunity Matrix (Google Sheets with visual summary)
• Interactive Looker Studio Dashboard consolidating key insights
• One-Page Executive Summary with licensing recommendations
• Recorded walkthrough or presentation deck of findings