Hire candidates who can read, interpret, and act on data — without needing a degree in statistics.
Spreadsheets don't tell you if someone actually understands the numbers.
Use our 15-minute, scenario-based test to see how candidates read charts, spot errors,
and choose the right way to present data - before you commit to interviews or a
hire.
Why Test Working with Data?
Almost every modern role involves some level of data literacy — reading reports,
interpreting dashboards, or making sense of spreadsheets.
The problem? CVs
list "Excel" and "data analysis" as skills, but never show whether someone can actually
draw the right conclusions from a dataset. Heroify helps you see it early.
Without Testing
What you risk
- New hires who misread charts and make flawed recommendations
- Reports full of errors that go unnoticed until it's too late
- Decisions based on poorly interpreted numbers
- Time wasted cleaning up avoidable data mistakes
With 
What you gain
- Employees who catch data errors before they become costly mistakes
- Better reporting that actually drives decisions
- People who choose the right chart, table, or metric for the audience
- Faster onboarding because new hires already understand data basics
When to Test Working with Data?
Use this test when the role requires:
- Reading and interpreting charts, tables, or dashboards
- Spotting errors or inconsistencies in datasets
- Choosing the best way to visualise or present data
- Summarising findings for non-technical stakeholders
- Working with spreadsheets or reporting tools regularly
- Making recommendations based on numerical information
Rule of thumb: If "data literacy," "reporting," or "Excel proficiency" appears in your job description, use this test.
Who Should Take This Test?
Working with Data is essential for any role that involves reading reports, handling spreadsheets, or making data-informed decisions.
Marketing Coordinators
tracking campaign metrics and reporting on performance
Sales Operations
managing pipeline data and forecasting revenue
Business Analysts
turning raw data into actionable business recommendations
HR Specialists
analysing workforce data and building reports
Project Coordinators
tracking budgets, timelines, and resource allocation
Account Managers
monitoring client KPIs and presenting results
Operations Analysts
identifying trends and inefficiencies in processes
Executive Assistants
preparing data summaries and board-level reports
Junior roles
where data literacy is a must-have from day one
What Does The Working with Data Test Measure?
The Working with Data test shows how candidates:
Read and correctly interpret charts, tables, and graphs
Spot errors, outliers, and inconsistencies in datasets
Choose the most appropriate way to present or visualise data
Draw accurate conclusions and avoid common data misinterpretations
Our methodology is validated by I/O psychologists and based on decades of research into cognitive assessment. Each question is designed to reveal how candidates think, not just what they know.
How It Works
We don't use abstract maths problems or textbook exercises.
Our test
presents realistic data scenarios — charts, tables, and datasets — requiring candidates
to interpret information and make sound judgements, just like they would on the
job.
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Takes 10-15 minutes, not half an hour
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Realistic work-like scenarios
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Balanced difficulty that actually differentiates candidates
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Scientifically validated
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Mobile-friendly, candidates can take it anywhere
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Benchmarking results against real candidates in similar roles
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Cheat-resistant signals based on behaviour patterns, e.g. unusual speed or tab-switching
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Candidates don't feel "examined". They feel challenged — in a good way
A bar chart shows quarterly sales for four regions. Region B's bar is twice as tall as Region D's, and Region D generated £120,000. Your manager asks for the total sales across all four regions. Regions A and C generated £200,000 and £160,000 respectively. What is the total?
Select one answer:
Stop reading scores. Start reading insights that help you decide
Heroify doesn't leave you with a raw score.
You get clear,
AI-interpreted insights explaining how results translate to on-the-job
performance.
Generic assessment
Generic: "Scored 72% on Working with Data"
Heroify insight
Heroify: "This candidate reads charts and tables accurately and catches common data errors, but may need support when choosing the best visualisation format for complex datasets."
- Interpret charts and tables quickly and accurately.
- Catch errors and inconsistencies that others miss.
- Present data clearly and choose the right format for the audience.
- Draw correct conclusions without overinterpreting the numbers.
- Work confidently with spreadsheets and reporting dashboards.
- Communicate data findings in a way non-technical colleagues understand.
Compare with other candidates
Plus:
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Specific interview questions to explore deeper, tailored to their results.
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Comparison dashboard to see all candidates side-by-side
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Red flags if suspicious behaviour is detected
This lets you:
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Focus interviews on real strengths and risks—not small talk
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Compare candidates on thinking quality, not confidence level
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Spot gaps early and avoid mis-hires
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Make faster decisions with actual data
96% Positive Feedback From Candidates
Candidates consistently describe Heroify tests as:
"Finally, a test that lets me show what I can do"
"Questions felt like actual job situations"
"Way better than boring personality quizzes"
Every candidate receives instant feedback on strengths and growth areas, so even rejected applicants leave with something valuable — and your employer brand benefits.
GDPR Compliant
Enterprise-grade security
Validated by I/O Psychologists
Science-backed assessments
AI-Enhanced Scoring
Faster, fairer results
Ready to Test Working with Data?
Stop guessing. Start using data to identify candidates who can actually work with data — not just claim they can.