A pre-employment assessment is a structured evaluation used during hiring to predict a candidate's likelihood of success in a specific role.
The most effective pre-employment assessments measure predictors of performance, including:
Plum's pre-employment assessment platform focuses on durable skills: stable behavioral and cognitive traits shown to predict on-the-job performance when aligned to role context.
Many pre-employment testing tools rely on generic personality categories, static culture-fit ideas, one-size-fits-all aptitude scores, and resume-first filters.
They answer the wrong question:
Will this person succeed in this specific role, under these specific demands?
Plum defines job fit before evaluating candidates, then matches each candidate to a role-specific success profile.
Plum Role Model analyzes your job description and generates a behavioral benchmark aligned to real-world performance data.
Candidates complete a 25-minute online pre-employment assessment measuring:
Completion rates average 92%, with 93% candidate satisfaction. Each person gets a personalized Plum Profile.
Plum produces clear Match sScores aligned to the role's required durable skills.
Plum auto-generates structured interview guides aligned to role-specific predictors, shifting interviews from subjective impressions to job-relevant evaluation.
Plum augments human judgment. It does not replace it.
Performance depends on how people make decisions, learn and adapt, stay motivated by work, execute under pressure, and collaborate with others.
Predictor |
Why It Matters |
What Plum Measures |
|---|---|---|
| Decision-making | Quality and speed of judgment in role context | Role-aligned cognitive and behavioral indicators |
| Adaptability | Ability to adapt as demands change | Durable traits linked to adaptability and growth |
| Motivational drivers | Sustained energy and engagement in core work | Drivers and drainers mapped to role demands |
| Execution and collaboration | Delivery under pressure with cross-functional teams | Behavioral signals tied to teamwork and follow-through |
Hire based on validated role fit instead of surface credentials. Organizations using Plum’s pre-employment assessment report 2× more top performers in engineering and cybersecurity roles, 200% more high performers in sales, and 66% fewer low performers in customer service roles.
Structured, role-defined evaluation reduces intuition-heavy screening and resume signal bias. Plum has passed an independent third-party bias audit under NYC Local Law 144, confirming fairness and transparency in automated employment decision tools.
When durable skills align with job demands, retention improves. In early-career programs, candidates assessed with Plum were 3× more likely to stay beyond their first year.
Plum’s pre-employment assessment is grounded in industrial-organizational psychology and validated against real hiring outcomes. It is 4× more predictive of job performance than a resume, giving hiring teams defensible, data-backed decision support.
Role Model standardizes benchmarks across geographies and teams, making predictive hiring scalable.
Plum also integrates with leading ATS platforms for in-workflow triggering and match visibility.
Many organizations searching for a personality test are actually seeking a predictive pre-employment assessment.
Approach |
Primary Output |
Hiring Relevance |
|---|---|---|
| Personality tests | Type/category labels | Limited role-specific prediction |
| Plum predictive assessment | Role-aligned durable skills and match scores | Contextual job-fit prediction for decisions |
Plum is built to reduce early hiring failures before they surface in performance reviews.
Resumes describe the past. Interviews reward presentation. A predictive pre-employment assessment evaluates job fit before day one.
Use Plum to define role success, assess durable skills, and make structured, defensible hiring decisions.
Request a demo