Psychometrics · 10 min read

How to Design Company-Specific Assessments

Generic assessments lack the nuance your organization needs. Learn how to design assessments that truly predict who will succeed in your specific context.

Door Ingmar van Maurik · Founder & CEO, Making Moves


Why generic assessments fall short

Most organizations use standard assessments from major test publishers. Personality questionnaires, cognitive ability tests, and situational judgment tests that are identical for hundreds of companies. The problem: what predicts success at a consulting firm is fundamentally different from a tech startup or a healthcare institution.

Research confirms this. Generic assessments have an average predictive validity of 0.20 to 0.35 for job performance. Company-specific assessments achieve a validity of 0.45 to 0.65 — nearly double. That difference translates directly into better hires, less turnover, and higher productivity.

In this article, we explain step by step how to design assessments specific to your organization. With concrete methods, examples, and an implementation plan.

Step 1: Define success in your organization

Before you can design an assessment, you need to know what you are measuring. And that starts with a crucial question: what makes someone successful in your organization?

The success profile method

Analyze your top performers and discover what sets them apart:

Quantitative analysis:

  • Who scores highest on performance reviews?
  • Who gets promoted fastest?
  • Who has the highest productivity metrics?
  • Who stays with the organization longest?
  • Qualitative analysis:

  • What behaviors do your best employees exhibit?
  • What mindset characterizes your most successful teams?
  • Which skills are crucial but not standard?
  • Which cultural fit factors are decisive?
  • From analysis to competencies

    Based on your analysis, define 5-8 core competencies that predict success. These are not the generic competencies found in every HR handbook (teamwork, communication, problem-solving), but specific, measurable characteristics unique to your context.

    Example for a tech scale-up:

    CompetencyDefinitionWhy specific?

    |-----------|-----------|--------------|

    Autonomous problem-solvingIndependently identifying and solving complex technical problems without detailed instructionsLess critical in large corporates Ambiguity toleranceFunctioning effectively when goals and processes are not fully definedStart-ups have less structure Learning agilityProductively deploying new technologies and frameworks in a short timeRapid technological change Impact-driven communicationTranslating complex technical concepts into business impactSmall teams, direct stakeholder interaction Ownership of outcomesTaking responsibility for results, not just tasksCulture of ownership

    Step 2: Choose the right assessment methods

    There are different methods to measure competencies. The choice depends on what you measure and the candidate experience you want to deliver.

    Customized cognitive assessments

    Instead of a standard IQ test, design cognitive tasks relevant to the role:

  • For developers: logical puzzles resembling real debugging scenarios
  • For marketers: data interpretation tasks with real marketing metrics
  • For sales: scenarios where candidates must analyze market information and formulate a strategy
  • Situational Judgment Tests (SJTs)

    SJTs present realistic work scenarios and ask candidates how they would respond. The key is that scenarios are specific to your organization:

    Generic scenario (not effective):

    "A colleague misses a deadline. What do you do?"

    Company-specific scenario (effective):

    "You are working on a feature release. Two days before the deadline, you discover a significant performance problem. The product owner wants to launch as planned, the tech lead suggests postponing the release. The client expects the feature next week. How do you handle this?"

    This scenario tests multiple competencies simultaneously: problem-solving, communication, handling pressure, and prioritization in a context your candidates immediately recognize.

    Work samples

    The most valid assessment method is a work sample: a task that simulates the actual job. Design work samples that are:

  • Relevant: they simulate tasks the candidate will actually perform
  • Standardized: every candidate receives the same assignment and evaluation criteria
  • Feasible: they can be completed in 30-60 minutes
  • Fair: they do not require specific domain knowledge that only insiders have
  • Structured behavioral interviews

    Design interview questions that specifically measure your core competencies. Use the STAR method (Situation, Task, Action, Result) but with questions relevant to your context:

    For the competency 'autonomous problem-solving':

    "Describe a situation where you had to solve a technical problem without a clear approach or anyone available to help you. How did you tackle it and what was the result?"

    Step 3: Build a scoring model

    The scoring model determines how you translate assessment results into a prediction of success. This is where the science of psychometrics meets the practice of your organization.

    Weighted scoring

    Not every competency is equally important. Based on your success profile analysis, assign weights:

    CompetencyWeightRationale

    |-----------|--------|-----------|

    Autonomous problem-solving25%Strongest predictor of success in your data Ambiguity tolerance20%High correlation with retention Learning agility20%Crucial for fast-growing organization Impact-driven communication20%Important for team effectiveness Ownership of outcomes15%Baseline competency, less differentiating

    Thresholds versus continuous scoring

    You can work with thresholds (candidate must score at least X on each competency) or continuous scoring (total score determines ranking). The best approach combines both:

  • Minimum thresholds for deal-breaker competencies (e.g., at least 60% on problem-solving)
  • Continuous scoring for the overall ranking (weighted sum of all competencies)
  • Calibration with historical data

    If you already have data from previous hires, you can calibrate the scoring model. Analyze which assessment scores correlate with successful hires and adjust your weights and thresholds accordingly.

    Step 4: Validate your assessment

    An assessment that is not valid and reliable is worthless — or worse, it leads to systematically wrong decisions.

    Content validity

    Have domain experts evaluate whether the assessment measures what it should measure. Are the scenarios realistic? Do the questions actually measure the intended competencies?

    Criterion validity

    This is the most important form of validity: does the assessment actually predict future success? Measure this by:

    1. Correlating assessment scores with performance data after 6 and 12 months

    2. Comparing whether high-scoring candidates perform better than low-scoring ones

    3. Calculating the predictive validity coefficient (aim for > 0.40)

    Reliability

    A reliable assessment gives consistent results:

  • Test-retest reliability: does the same candidate receive comparable scores on repeated testing?
  • Internal consistency: do all components of a competency assessment measure the same construct?
  • Inter-rater reliability: do different evaluators give comparable scores in behavioral interviews?
  • Adverse impact analysis

    Check whether your assessment does not discriminate against protected groups. Calculate the 4/5 rule: the selection ratio of each group must be at least 80% of the group with the highest selection ratio.

    Step 5: Implement and iterate

    Technical implementation

    A company-specific assessment system requires technology flexible enough to host custom assessments. With your own hiring system, you can:

  • Seamlessly integrate assessments into the candidate journey
  • Build real-time scoring and reporting
  • Run A/B tests to compare the effectiveness of different assessments
  • Collect data for continuous calibration
  • The iteration cycle

    Assessment design is not a one-time project. It is a continuous process:

    Quarter 1-2: Launch the first version, collect data

    Quarter 3-4: First validation analysis, calibrate the scoring model

    Year 2: Refine scenarios and questions based on data, add new competencies or remove irrelevant ones

    Year 3+: The assessment becomes increasingly accurate through the growing dataset

    Avoiding common mistakes

  • Measuring too much: limit yourself to 5-8 competencies. More is not better
  • Assessment too long: keep total assessment time under 60 minutes. Longer assessments lead to lower completion rates
  • No candidate feedback: give candidates insight into their results. This improves the candidate experience and your employer brand
  • Staying static: an assessment you never update loses its value. Schedule annual reviews
  • No baseline measurement: measure your current hiring quality before implementing the assessment, so you can demonstrate improvement
  • The business case

    The investment in company-specific assessments pays back quickly:

    MetricGeneric assessmentCompany-specificDifference

    |--------|-------------------|-----------------|------------|

    Predictive validity0.20 - 0.350.45 - 0.65+100% First-year turnover25-30%12-18%-50% Time-to-productivity4-6 months2-3 months-50% Hiring manager satisfaction3.0/54.2/5+40% Candidate completion rate70%85%+21%

    For an organization doing 200 hires per year, the difference in turnover alone translates to savings of EUR 300,000 to EUR 600,000 per year (based on replacement costs of EUR 25,000-50,000 per bad hire).

    Key takeaways

  • Generic assessments have limited predictive value of 0.20-0.35; company-specific assessments achieve 0.45-0.65
  • Start with a success profile analysis to determine what predicts success in your specific context
  • Use multiple methods: SJTs, work samples, cognitive tests, and structured interviews
  • Build a weighted scoring model based on the relative importance of each competency
  • Validate continuously with criterion validity, reliability analyses, and adverse impact checks
  • Iterate annually based on new data and changing organizational needs
  • The ROI is significant: 50% less turnover and 50% faster time-to-productivity
  • Want to start with company-specific assessments? Get in [touch](/contact) for an assessment design workshop

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