Fluency Score reports provide actionable insights on Product-Market Fit
Lack of product-market fit accounts for 75% of the primary reasons startups fail.
The Fluency Score algorithm quantifies business model risk across 300 data points and produces a report with a standardized score and visualization of business model risk for fast, accurate, and strategic decision-making across the innovation stack.
What is a Fluency Score report?
Fluency Score reports provide a current snapshot of a startup’s risks and opportunities as they work to achieve Product-Market Fit.
- Standardized company level data on business model risk
- Efficient, consistent reporting of stage and progress
- Visualization of risk and recommendations for next steps
The Fluency Score algorithm measures, analyzes, and reports on business model risk with laser focus
Data is collected to understand the company’s business model and the steps they have taken to de-risk core assumptions in the market with customers.
For example, if they believe their customers need help with a particular problem, the Fluency Score process collects and evaluates the ways in which they have worked to understand this problem from their customer’s point of view.
Following the principles of design thinking and Lean startup methodology, the Fluency Score captures the quality of the approach to validation, specifically with the targeted customers.
The Fluency Score also measures and visualizes the velocity with which the company is tackling all remaining business model risks for a real-time snapshot of their current activity.
For example, if a company’s riskiest assumption is around their growth strategy, the Fluency Score Report will identify the speed and focus with which they are testing and validating those assumptions.
This component of the score can help answer the question of whether this company may reach product-market fit before running out of resources.
How is the data collected?
Data is collected through a qualitative interview process with the founder to ensure the information is correct and entered into the algorithm in a standardized format.
How is the data analyzed?
The qualitative data collected during the interview process is then quantitized and processed through the Fluency Score algorithm to evaluate the risks across five vectors.
How long is the data accurate?
Early stage companies evolve and grow quickly! For that reason, a Fluency Score Report is considered “fresh” for three months. After that, it is useful for historical comparison and a fresh report is recommended.
All Fluency Score Reports include:
A single, numerical score that can be used to compare, rank, and track a company or group of companies objectively
Breakout of risks
Visualization of risk to diagnose strengths and weaknesses within each component of the business model
Business model stage indicator
Precise labeling of stage allowing for greater differentiation between similarly staged-companies and quantifiable progress reporting
Customized analysis & recommendations
Analysis of a company’s greatest current risks in their business model and recommendations for next steps
Four powerful use cases for Fluency Score Reports
Evaluate and choose best-fit startups at a glance
Tailor resources and focus mentors for each company
Show trajectory, even for early-stage companies
Communicate impact efficiently with data
Build a Product-Market Fit trajectory over time with standardized, high quality data
Data designed for strategic decision-making
A lot of data leaves you thinking “That’s cool, but so what?” You need data that cuts through the noise of a shiny, perfect pitch to highlight the company’s actual current risks and opportunities.
- Measure a company from Idea to Series A to track their growth trajectory over time
- Measure companies across industry verticals using a single standardized process for easy comparison and ranking
- Build a custom dataset on a single company or an entire portfolio to track and report growth and ROI to external stakeholders