Magic Crystal Ball

Use Case 1: Automated Market Research

Problem: Product managers often spend dozens of hours manually scouring the internet for market trends and competitor data.
Solution: Magic Crystal Ball uses AI to automate the gathering and synthesis of market data into actionable insights.
Example: A PM at a startup generates a comprehensive analysis of the SaaS productivity market in under five minutes.

Use Case 2: Expert-Guided Roadmap Prioritization

Problem: Decision-making regarding feature prioritization is often subjective or lacks the perspective of experienced professionals.
Solution: The tool incorporates insights from seasoned global PMs to help users make better product decisions.
Example: A junior product manager uses the AI to validate their feature backlog against industry best practices and expert logic.

Use Case 3: Seamless Team Collaboration

Problem: Research findings are frequently lost in separate documents or email threads, making team alignment difficult.
Solution: Since it is powered by Notion, all research findings are instantly organized and shareable within an existing workspace.
Example: A development team accesses a live Notion page where the AI has synthesized user feedback into clear technical requirements.