Does Doing What Interests You Make You Better at It? What 60 Years of Research Says

“Follow your passion” and “a job is just a job” are both popular advice. What does the evidence say? In short: interests matter more for performance than people once thought, and less for satisfaction than most people assume.

The old view: interests don’t predict performance

For decades, influential reviews in personnel psychology reported only weak links between interest scores and job performance. The conclusion became conventional wisdom: interests help people choose careers and feel satisfied, but they do not tell you who will do the job well. The problem was that much of this work ignored how interests were measured and whether they had anything to do with the job in question.

What newer meta-analyses found

Job-relevant interests predict performance

Christopher Nye and colleagues pooled studies spanning more than 60 years (Nye et al., 2012). Their key findings:

• Generic interest scores, used without regard to the job, related only weakly to performance.
• When researchers looked at fit between a person’s interests and the work environment (congruence), the relationship became clearly stronger.
• Interests related not only to job performance but also to academic performance and to persistence, meaning staying in a field or program.

A separate meta-analysis by Chad Van Iddekinge and colleagues reached a compatible conclusion. Broad interest scales were weak predictors, but interest measures designed for a specific job predicted performance and turnover noticeably better (Van Iddekinge et al., 2011). Nye and colleagues later revisited these findings through the lens of congruence and again found that better interest fit went with better performance (Nye et al., 2017).

Why would interests help?

Three plausible routes:

1. Effort. People put in a little extra when the work is engaging.
2. Persistence. People who stay through hard stretches accumulate experience and skill.
3. Learning. Information about topics you care about tends to stick.

A caution about averages

Meta-analytic correlations describe averages across many people. They mean that well-matched people tend to perform a bit better and stay a bit longer, not that a good match guarantees success or a poor match guarantees failure. Ability, experience, colleagues, and luck all play a role. Use interest results to narrow the search, then let real experience decide.

The link with satisfaction is small

Surprisingly, meta-analyses have found only a small association between interest congruence and job satisfaction, with correlations in the neighborhood of .2 (Tsabari et al., 2005). Satisfaction depends on much more than interests:

What shapes satisfaction	Examples
People	Managers, coworkers, a respectful climate
Conditions	Pay, hours, job security
Meaning	Feeling that your work helps someone
Autonomy	Control over how you do your work

A perfectly matched job with a hostile boss can be miserable, and a less matched job with good colleagues and reasonable autonomy can be quite satisfying. If you are unhappy at work, check which of these four is missing before concluding that your interests are the problem.

Three common myths

• “If I’m not interested, I shouldn’t do it.” Interests can grow with exposure and skill. Many people come to enjoy fields they were lukewarm about at first.
• “I should have one interest.” Most people have two or three elevated types. The combination can carve out a distinctive niche.
• “Interests are just personality.” They are related but distinct. A highly extraverted person does not necessarily have strong Social or Enterprising interests, which is why Nadapge measures them separately.

Using interests wisely

Interests work best as a compass for what you could explore deeply and sustain, not as a guarantee of happiness. Combine them with other information:

• Interests + ability: look for overlap between what you enjoy and what you can become good at.
• Interests + values: check whether the work serves what matters to you, such as stability, growth, or contribution.
• Interests + environment: the same job title can involve very different daily tasks in different organizations.
• Share of the day: the percentage of your day spent on activities you enjoy may matter more than the job title.

How to use this

1. Log a typical workday (or study day) in 30-minute blocks and tag each block with its closest RIASEC type.
2. Calculate what share of the day matches your top interest types.
3. Find one way to raise that share slightly. If you are high in Investigative, for example, analyze some of your team’s data yourself once a week.
4. If you are weighing a career move, build a simple grid for each option with four columns: interests, ability, values, environment.

Check your RIASEC profile in the career interest test, then compare it with your values test results in your report.