Round 1 Winners!
Proof of Usefulness Report

Soave Analytics Incorporated

Analysis completed on 3/22/2026

+28
Proof of Usefulness Score
You're In Business

The submission describes a standard B2B data analytics consulting service with clear, practical utility. However, the application contains grossly exaggerated and contradictory claims, such as stating 'everyone' is the audience and 'most people have used my product,' which is entirely unrealistic for a 6-person boutique consulting agency. Combined with ambiguous financial metrics and standard (non-proprietary) technical implementations, the lack of verifiable traction significantly impacts the score.

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Score Breakdown

Real World Utility+17.50
Audience Reach Impact+1.00
Technical Innovation+4.50
Evidence Of Traction+1.25
Market Timing Relevance+5.00
Functional Completeness+0.50
Subtotal+29.75
Usefulness Multiplierx0.95
Final Score+28

Project Details

Description
At Soave Analytics we empower organizations to leverage their data for strategic decision-making. We are dedicated to partnering with you, not just to build effective, intuitive systems but to equip your team with the knowledge and skills needed to leverage these tools for actionable insights and long-term success. Our goal is to ensure that you not only own and have access to your data but also the confidence and expertise to use it to its fullest potential. Data Solutions: ● Ad Hoc Business Problem Analysis ● BI Dashboard Construction & Optimization ● End-to-End Root Cause Data Analysis (i.e. Data-Driven Recommendations for KPI Optimization) ● Self-Service BI Tool Launch & Integration ● Data Team Training and Consulting ● Data Flow and Process Optimization ● Product Attribution for Website Taxonomy, Reporting, and Search Algorithm Optimization Data Experience: Soave Analytics is led by Rebecca Soave, an analytics professional with over 15 years of corporate and consulting experience, including six years in leadership roles. Holding a master’s degree in business analytics, Rebecca specializes in transforming complex data into clear, actionable insights that drive business success. As a data storyteller, she empowers non-technical stakeholders to make informed, data-driven decisions with confidence. ● Advanced SQL: Google BigQuery, Snowflake, Azure Data Studio ● R Programming Statistical Models: Regression Models, Cluster Models, Time-Series Forecast Models, Random Forest, Naive Bayes Machine Learning Models (MLMs) ● Dynamic BI Dashboards: Tableau, Looker, Power BI ● Data Models: Sales and Marketing Forecast Models, Subscription and Churn Models, Marketing Channel Models, Multi-Touch Attribution Models, Product Data Models (Sales, Profit, Returns by sku and product attributes), Customer Data Models (Persona Clusters), LTV Models, Web Page Engagement Data Models, CRM Models and more. ● Executive Presentations: Google Decks, PowerPoint

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