Shift Health is a verifiable healthcare automation company based in Utah with estimated annual revenue of ~$870k and a team of 10-30. The project addresses a high-utility problem (healthcare administrative burden) with relevant AI/automation technology. However, the submission quality is critically low, containing demonstrably false claims ('most people have used my product', 'audience: everyone') and confusing financial metrics. While the business itself shows promising traction with local healthcare providers (e.g., Valley Women's Health), the Proof of Usefulness score is significantly penalized by the lack of credible data entry and exaggerated reach claims.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline