This memo sets out a structured approach to evaluating traits that correlate with success in uncertainty and entrepreneurship using background signals rather than self-reported personality profiles or interview performance alone.
This article helps Venture Capital investors:
The traits below are drawn from peer-reviewed research spanning labour economics, organisational psychology, and entrepreneurship. The strongest anchors are large-scale empirical work: Zhang et al. (2025), who analysed over 70 million job transitions, and Deming (2017), who used decades of US labour market data. Where effect sizes are modest or evidence is thinner, this is noted under each trait.
Two limitations are worth holding in mind:
The first four traits predict sustained performance in uncertain, resource-constrained environments generally. The fifth is specific to entrepreneurial contexts.
Weidmann et al. (2024) identify resource allocation as a distinct managerial capability, separate from seniority or domain expertise, that directly predicts firm-level productivity. The mechanism is decision quality under scarcity: who to hire, what to build, where to focus, what to cut.
Founders operate under permanent constraint. Getting allocation wrong at early and growth stages is typically what kills companies, not lack of ideas.
Deming (2017), analysing US labour market data across several decades, shows that roles requiring high social interaction have seen the strongest wage and employment growth as routine tasks get automated, and that combining cognitive ability with social skill commands the largest earnings premium. Weidmann et al. (2024) extend this to management, showing that influencing and coordinating teams predicts measurable firm-level output.
A founder rarely has full authority over the outcomes they need. Recruiting, closing investors, aligning co-founders, winning enterprise customers: all of these require bringing people along without being able to mandate it. Social skill is not a complement to execution; in many cases it is the execution.
Zhang et al. (2025), analysing over 70 million job transitions, show that workers whose skills have a nested, hierarchical structure (general foundations supporting specialised capabilities) are significantly more resilient to labour market disruption than workers with the same number of skills arranged without that structure. Lazear (2005), using Stanford MBA data, found that entrepreneurs are more likely than managers to have broad, diversified skill sets, and that this breadth predicts venture creation and success.
The founder role changes shape constantly. Someone who has built specialised capability on top of broad foundations can redeploy when the business pivots or the market shifts. A narrow specialist tends to be more brittle.
Duckworth et al. (2007) define grit as the combination of sustained effort and consistent interest over long time horizons, and show it predicts performance in high-dropout environments independently of IQ, including military training, academic programmes, and competitive settings. Heckman and Kautz (2012), reviewing decades of non-cognitive skills research, place conscientiousness among the most reliable predictors of long-run life outcomes. Baum and Locke (2004), in a longitudinal study of venture CEOs tracked over six years, found tenacity to be a significant direct predictor of venture growth independent of strategy or resources.
Entrepreneurial timelines are long and rarely linear. Grit is the trait that determines whether someone maintains direction through the periods when early momentum stalls, which is where most ventures fail.
Rauch and Frese (2007) found innovativeness had the second-highest effect size of any trait in their meta-analysis of entrepreneurial success (.27), behind only need for achievement. Ames and Runco (2005) measured divergent thinking directly using an actual test rather than self-report scales, and found it predicted entrepreneurial intent and behaviour. The Ames and Runco sample was small (n=47), but the methodology is more rigorous than most in this literature.
When presented with a problem, most people default to the obvious solution. Entrepreneurs who perform tend to consider a wider range of options and arrive at something more novel. This is observable in their histories: people who have always been starting things, questioning the premise, or building something new inside whatever environment they found themselves in.
Semata does not use personality tests or self-report instruments. We extract signals from what a person has actually done: their roles, the companies they worked at, the conditions they worked in, and the trajectory of their career over time. Company and market context is layered in alongside the CV to assess whether the environment would have genuinely developed and tested each trait.
A CV tells you what someone claims to have done. Company and role context tells you whether that claim represents real, stakes-bearing exposure to the trait.
Background signals indicate probability, not outcome. Note:
Further reading: Sifted: Founder Due Diligence