Score your skills, interests, and work values now. Match roles by fit and growth potential. See your suitability score, then plan your next move.
| Role | Score | Top strengths | Primary gaps |
|---|---|---|---|
| Data Analyst | 82.5 | Skills, interests, demand | Compensation, environment |
| Product Manager | 68.0 | Values, work style | Aptitude, skills |
| UI Designer | 54.2 | Interests, learning | Demand, skills, compensation |
Each factor is scored from 0 to 10. Each weight is a percentage.
Interpretation: 80–100 strong fit, 65–79 good fit, 50–64 mixed fit, under 50 low fit.
Career choices improve when you translate feelings into comparable signals. This calculator combines nine practical factors into one suitability score, so you can compare roles. A score near 80 suggests strong alignment across skills, interests, and values, while a score near 50 highlights tradeoffs that deserve investigation. Use the score as a decision aid, not a verdict, and always review the factor breakdown before acting.
High interest with low demand can still work if you have a plan to specialize, relocate, or freelance. Likewise, strong demand with low work style fit can lead to burnout. The weighting controls let you reflect real priorities, such as stability, impact, or flexibility. When weights are normalized, even imperfect totals still produce fair comparison. Keep one default weight set, then create a second set for a different life stage.
The lowest factors are your fastest levers for improvement. If skills match is weak, list three competencies and pick one course or project for each. If compensation fit is low, research salary ranges and adjust targets or seniority. If environment fit is uncertain, schedule informational interviews to test culture, leadership style, and workload expectations. Recalculate after each learning sprint to measure progress.
When evaluating multiple careers, keep your personal factors stable and change only what the role changes. For example, your values and work style preferences remain constant, while demand and skills match differ by role. Export the CSV to track several options, then rank them by total score and by the strongest three factors. This approach prevents overreacting to one attractive feature while ignoring hidden friction points.
Scores are estimates, so validate them with real exposure. Shadow a professional, build a small portfolio task, or simulate a week of role activities. If your interest alignment rises after exposure, update the input and see how your score shifts. Over time, repeated evaluations create a personal decision history that improves accuracy. The goal is a repeatable method that helps you choose, commit, and grow.
It is a weighted summary of your ratings across nine career factors, converted to a 0–100 scale. Higher scores suggest better overall fit.
It helps, but it is not required. The calculator normalizes weights automatically, so comparisons remain consistent even if totals differ.
Re-run after major learning, new research, interviews, or role exposure. Monthly checks during an active transition can reveal momentum and gaps.
Use the lowest factors as a plan. Improve skills, test work style assumptions, or change constraints like location, seniority, and target employers.
Yes. Keep your personal preference scores stable and adjust only role-dependent factors. Export CSV to preserve inputs and compare outcomes.
No. It supports structured thinking, but career counseling, mentorship, and real-world trials provide deeper context for final decisions.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.