Proof of Usefulness Report

MyShiftTime

Analysis completed on 3/19/2026

+114.11

Proof of Usefulness Score

Gaining Momentum

The submission addresses a genuine problem in healthcare staffing and scheduling but is heavily penalized for unrealistic claims ('everyone' as target audience, 'most people' for traction) and lack of verifiable technical details. The claim of a $2.5M 'marketcap' instead of standard monthly revenue raises red flags about the project's actual structure. Quality factors are reduced to 0.5 for most criteria due to vague and unsupported assertions, leading to a score reflecting minimal verifiable traction.

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Score Breakdown

Real World Utility+62.5

Audience Reach Impact+10.0

Technical Innovation+11.25

Evidence Of Traction+0.0

Market Timing Relevance+48.0

Functional Completeness+2.5

Subtotal+134.25

Usefulness Multiplierx0.85

Final Score+114

Project Details

Project URL

myshifttime.com

Description

myShiftTime is created by Healthcare Facility Administrators, Nursing Administrators, Health Care Operators, and Technology Experts with an established track record of developing market driven software solutions for healthcare and more. The team set out on a mission to change the never-ending staffing and scheduling challenges in the healthcare market through unparalleled machine learning technology that understands the needs of healthcare facilities and professionals to improve care by automatically optimizing and augmenting staff.

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