Round 1 Winners!
Proof of Usefulness Report

Decision Options LLC

Analysis completed on 3/17/2026

+225.63
Proof of Usefulness Score
Gaining Momentum

Decision Options LLC appears to be an established B2B AI advisory and consulting business founded in 2001, providing utility in the form of AI-driven decision models. However, the evaluation is heavily penalized due to highly exaggerated and unverifiable claims regarding audience reach ('everyone') and traction ('most people have used my product'). While the technical offering is highly relevant in today's AI market, the submitted metrics are vague, severely reducing confidence in the project's real-world footprint compared to established benchmarks.

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Score Breakdown

Real World Utility+100.0
Audience Reach Impact+10.0
Technical Innovation+60.0
Evidence Of Traction+12.5
Market Timing Relevance+50.0
Functional Completeness+5.0
Subtotal+237.5
Usefulness Multiplierx0.95
Final Score+226

Project Details

Description
Decision Options ®, LLC (DO) is a global leader in methodologies and tools for decision making. The roots of the company are in advisory services to decision makers in life sciences, technology, energy, manufacturing and financial services. DO was founded in 2001 by senior executives from a Fortune 100 company. We are located in Groton, CT and the company is privately held. The DO team brings many decades of executive and hands-on experience in strategy, finance, manufacturing and marketing. This expertise, combined with our tools and services, provides sophisticated business insights driving toward practical decisions and tangible results. Decision Options provides Artificial Intelligence driven decision models for businesses of all sizes and industries. Using high automation and incorporating a large library of machine learning techniques, deep learning optimizers and best of the breed econometrics, we can go from data to decisions within days or weeks. We partner with clients and invest into incorporating our models in existing workflows. We furnish fully encapsulated models from the cloud or build turn-key learning systems on-premise. We get rewarded based on the actual value delivered and we seek a long relationship with our clients resulting in measurable shareholder value enhancement.

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