StarVest is a research-driven technology initiative designed for venture capital funds and early-stage investors. Its mission is to evaluate and predict startup team success based on psychometric and psychosocial data.
Core Idea
The solution enables VC funds to uncover the human factor behind every startup — the dimension often missing from pitch decks and financial metrics. StarVest analyzes 11 psychosocial metrics — including Cohesion, Trust, Leadership, Motivation, Creativity, and more — to generate a Team Signature, a unique psychometric profile of the founding team.
Methodology
Proprietary, scientifically validated questionnaires (14 items per metric).
True score modeling and control questions for accuracy.
Team profile computation and correlation with startup performance data.
Early-stage diagnostic tool for identifying team potential and risk factors.
Project Goal
To provide venture investors with a new level of predictability in team assessment — at the intersection of science, data, and experience.
Target Audience
VC partners responsible for startup selection and due diligence.
Investment pipeline analysts.
Corporate venture divisions.
What We Do and How We Do It
StarVest System from the Investor’s Perspective
StarVest System from the Investor’s Perspective
For a venture fund or accelerator, StarVest becomes an intelligent layer of the investment funnel that enables decision-making not only based on the product and metrics but also on the quality of the team — the human core of any startup.
Integration into the Investment Process
StarVest integrates directly into the startup attraction and registration flow without disrupting the usual due diligence cycle.
Once a startup submits an application through the fund’s website, the system automatically suggests that the team undergo a psychosocial assessment.
Everything happens in the background, without additional workload for analysts or partners.
Each team member fills out a standardized digital questionnaire, and the data is securely transferred to the StarVest system, where a Team Signature is generated — a unique psychometric profile of the team.
Receiving Analytics
After completing the survey, the investor receives a structured analytical report that includes:
visual team profile (radars, indexes, correlation maps);
assessment of leadership, motivation, and communication balance;
team potential index and success probability forecast;
identified risk zones and recommendations for collaboration.
The report is presented in a format suitable for integration into the fund’s internal CRM or pipeline systems and can be used at any stage — from pre-selection to post-investment monitoring.
Benefits for the Fund
Risk Reduction. Helps identify dysfunctional or unstable teams before investment.
Increased Accuracy. Provides an objective psychometric layer in assessing “soft factors.”
Time Efficiency. Automates human capital analysis, reducing the workload on analysts.
Improved Selection. Enables the creation of statistical models predicting successful cases.
Portfolio Analytics. Allows comparing teams and identifying common success patterns.
Implementation Levels
StarVest can be used as:
a module within an existing investment portal,
an API integration into the VC’s CRM or pipeline,
an external white-label service for partner funds.
Thus, the system naturally complements the due diligence process — not replacing it but enhancing the understanding of who stands behind the startup and how ready the team is for growth.
Assessing the Psychosocial Factors Behind Team Success
At StarVest, We Believe in People First
Startup success begins not with a product, but with the people who build it.
We measure what’s usually invisible in business metrics — trust, motivation, leadership, cohesion, and creativity within the team.
Each member completes a set of scientifically designed assessments covering key psychosocial dimensions.
The results combine into a Team Signature — a digital profile that reveals the team’s strengths, vulnerabilities, and growth potential.
StarVest algorithms interpret these patterns to forecast success probabilities, helping investors see beyond ideas — into the human dynamics that make them real.
Method and Methodology
The StarVest Method
The StarVest method is built on a systematic analysis of psychosocial factors that determine startup team performance and resilience.
Each team member completes standardized assessments across 11 core dimensions — cohesion, goal alignment, role clarity, communication, trust, compatibility, motivation, leadership, creativity, resilience, and values.
Responses are converted into numerical true scores and combined into a Team Signature — a unique psychometric profile of the team.
The methodology includes data validation, reliability checks, and statistical modeling of correlations between team profiles and real-world startup outcomes.
This evidence-based framework enables predictive insight into team potential and risk before investment, giving venture funds a new lens on the human capital driving innovation.
Methodological Framework
The StarVest Assessment System
The StarVest assessment system is built on a structured, multi-dimensional psychometric model designed to quantify key social and behavioral parameters that influence team performance.
Each participant completes 11 standardized questionnaires, each addressing one dimension of team effectiveness:
Cohesion, Goal Alignment, Role Clarity, Communication, Trust, Compatibility, Motivation, Leadership, Creativity, Resilience, and Values & Mindset.
Each questionnaire includes 14 items — 12 substantive questions and 2 control items — answered on a 7-point Likert scale (from strong disagreement to strong agreement).
Questions are balanced for polarity and distributed to minimize response bias.
Individual responses are transformed into true scores using normalization algorithms that account for intra-team variance, consistency coefficients, and control responses.
These scores are then aggregated across all participants to generate team-level indices for each of the 11 dimensions.
The resulting data form a psychometric matrix, which is processed through a proprietary analytical model. This model evaluates:
Inter-metric correlations — how trust interacts with creativity.
Profile coherence — alignment between individual and collective perceptions.
Deviation markers — detection of asymmetry or latent tension within the team.
The final output is a Team Signature — a numerical and visual representation of the team’s psychosocial structure.
This profile enables prediction of success probability, team resilience, and risk zones based on statistically validated correlations with real-world startup performance data.
Team interaction process
The StarVest Evaluation Process
The StarVest evaluation process is designed to be simple for startup teams and rigorous in terms of data accuracy.
It consists of sequential steps that ensure reliability, confidentiality, and practical value for both the team and the investor.
1. Start and Registration
The process begins when the founder of a startup decides to submit their project to the relevant investment organization.
After registering on the website, they gain access to a personal account, where they can register team members and describe their startup.
Once the information is confirmed, it is sent to the project administrator, who verifies the startup’s relevance and, if approved, confirms the application.
After confirmation, the founder can send invitations to the team to take the assessment.
Each participant receives a personal registration link containing an explanation of the purpose, privacy policy, and a link to the questionnaire.
2. Individual Assessment
Each team member independently completes a set of psychosocial questionnaires covering 11 validated aspects such as cohesion, trust, motivation, leadership, and resilience.
The questionnaire format is digital, user-friendly, and standardized to minimize external influence.
Responses are automatically anonymized and encrypted upon submission.
3. Data Processing and Verification
The collected responses undergo quality and consistency checks, including cross-checking control questions and identifying biased or non-random patterns.
The system converts the raw data into normalized true scores, ensuring comparability across teams and industries.
4. Team-Level Analysis
Individual assessments are aggregated to create a team profile that visualizes collective strengths and internal differences.
Statistical models identify correlations between dimensions, highlight risk areas, and calculate a predictive success index.
5. Provision of Analytical Information
The investor or partner receives a concise analytical report containing:
A visual profile of the team’s signature (in radar or matrix format)
A predictive index of success
The team receives a feedback version with their visual team profile, and each participant also receives their individual profile, accessible only to them.
6. Follow-Up Observation and Comparative Benchmarking
For portfolios with multiple startups, StarVest enables comparative benchmarking, identifying team patterns across investments and determining systemic predictors of high performance.
💡 The bottom line: The process combines the empathy of human assessment with the precision of data analytics, offering investors a new way to understand the relational dynamics that define startup success.
StarVest is not just an evaluation tool
It’s a new standard of conscious investing — where decisions are made not only about businesses, but about the people capable of turning ideas into sustainable results.
Unlock your hidden potential
An initiative that brings together scientific research, medical expertise, and entrepreneurial practice to provide funds with tools for a deeper analysis of startup success. StarVest helps reveal not only the numbers but also the human factor that influences team performance and success.
The psychometric approach of StarVest allows us to make more well-balanced investment decisions and significantly improves the quality of our investment portfolio.
The StarVest tool is an important addition to our analytical arsenal, allowing us to gain deeper insights into the potential of startups and their teams.
The use of StarVest in our investment practice has led to a noticeable improvement in portfolio quality and an increase in ROI.
Benefits for Investors
Risk Reduction
Using psychometric data helps to more accurately predict the success of startups.
Increased Accuracy
More precise forecasts enabled by scientifically grounded analytical methods.
Time Efficiency
Quick access to valuable insights for decision-making through advanced analytical tools.
Gaining an Advantage
Using advanced technologies to gain a competitive edge in the market.
Oleg Dyvinets
Project Manager
Oleg Dyvinets, PhD, is an experienced entrepreneur and scientist with over 30 years of professional
experience. He leads a team of experts in psychometrics and venture investments, successfully collaborating
with colleagues from different countries.
