Proof of Usefulness Report

Everywhere

Analysis completed on 3/17/2026

+207

Proof of Usefulness Score

Gaining Momentum

The project addresses a valid business problem by analyzing customer feedback with ML to predict churn and cart abandonment. However, the submission suffers from heavily exaggerated claims ('most people have used my product', audience reach of 'everyone') and vague data. While a reported team size of 30 implies some operational capacity, the lack of verifiable traction metrics and poor response quality severely impact the overall score.

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Score Breakdown

Real World Utility+150

Audience Reach Impact+5

Technical Innovation+30

Evidence Of Traction+6.25

Market Timing Relevance+50

Functional Completeness+2.5

Subtotal+243.75

Usefulness Multiplierx0.85

Final Score+207

Project Details

Project URL

beeverywhere.io

Description

Everywhere captures and analyzes customer feedback from your user session data, support tickets, survey responses, product reviews and other customer conversations. With this data, our platform uses Machine Learning to model key business outcomes like customer churn, shopping cart abandonment, and more.

Algorithm Insights

Market Position

Growing utility with room for optimization

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

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