Proof of Usefulness Report

Useless log

Analysis completed on 1/23/2026

+30
Proof of Usefulness Score
You're In Business

The UseLess Log is a conceptual framework and spreadsheet template rather than a functional software product. While the premise of tracking 'non-usage' offers genuine utility for product managers (solving a real problem of feature bloat), the technical implementation is minimal (Google Sheets). The project is in a very early stage with negligible reach and relies on manual data entry, limiting its scalability and adoption compared to automated analytics tools. It scores in the 'minimal traction' range as a helpful resource/content piece rather than a scalable technology business.

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Score Breakdown

Real World Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal+32
Usefulness Multiplierx0.95
Final Score+30

Project Details

Project URL
docs.google.com/spreadsheets/d/1xIupQIeEp0k6TvZXGqWvz8jZLBYf8vGGHm3k2u1cr5U/edit
Description
The UseLess Log is a lightweight product-analysis project that systematically tracks underused and ignored features to identify gaps between assumed and actual user behavior. By logging real features such as reminders, dashboards, tutorials, emails, and badges, the project converts non-usage data into actionable insights for product and engineering teams. It demonstrates how measuring what users don’t use can be a practical proof of usefulness.
Audience Reach
The project is currently in an early stage and reaches a small but relevant audience through HackerNoon and organic sharing within developer and product-building communities. As visibility increases, the project is expected to reach a few hundred readers per month, primarily product managers, developers, and startup builders interested in practical product insights.
Target Users
Product managers, UX designers, software engineers, and startup teams working on user-facing applications. The project supports data-informed product decisions by highlighting non-usage patterns and preventing unnecessary feature development.
Technologies
Other, Google Sheets for lightweight data modeling and manual analytics, Google Drive for link-based access management, and HackerNoon as the publishing and discovery platform.
Traction Evidence
The project has been published publicly on HackerNoon and shared within developer and product-building communities. Early readers have accessed the public UseLess Log and engaged with the idea by viewing and discussing examples of underused features, indicating interest in the project’s approach to learning from non-usage.

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