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About the test:

The data interpretation test evaluates a candidate's ability to analyze complex data, extract meaningful insights and structure observations from multiple data sources like tables, charts and graphs.

Covered skills:

  • Reading data
  • Interpreting Graphs
  • Analyzing Tables
  • Drawing inferences
  • Analyzing Charts
  • Data Visualization

9 reasons why
9 reasons why

Adaface Data Interpretation Test is the most accurate way to shortlist Data Analysts

Reason #1

Tests for on-the-job skills

The Data Interpretation Assessment Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Reading and interpreting data accurately
  • Drawing logical inferences from data
  • Analyzing and interpreting graphs effectively
  • Analyzing and interpreting charts accurately
  • Analyzing and interpreting tables efficiently
  • Data visualization skills to present information effectively
Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Data Interpretation Assessment Test will be non-googleable.

🧐 Question


Financial Analysis
Percentage and Average Calculations
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?


Laptop Brands
Proportions and Percentages
Financial Reasoning
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?


Trend Analysis
Statistical Reasoning
 Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
🧐 QuestionπŸ”§ Skill


Financial Analysis
Percentage and Average Calculations

3 mins

Data Interpretation


Laptop Brands
Proportions and Percentages
Financial Reasoning

2 mins

Data Interpretation


Trend Analysis
Statistical Reasoning

3 mins

Data Interpretation
🧐 QuestionπŸ”§ SkillπŸ’ͺ DifficultyβŒ› Time
Financial Analysis
Percentage and Average Calculations
Data Interpretation
Medium3 mins
Laptop Brands
Proportions and Percentages
Financial Reasoning
Data Interpretation
Medium2 mins
Trend Analysis
Statistical Reasoning
Data Interpretation
Hard3 mins
Reason #4

1200+ customers in 75 countries

customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Data Interpretation Assessment Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Data Interpretation Assessment Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

invite candidates
Reason #7

Detailed scorecards & benchmarks

View sample scorecard
Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring

Learn more

About the Data Interpretation Online Test

Why you should use Pre-employment Data Interpretation Assessment Test?

The Data Interpretation Assessment Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Analyzing and interpreting data sets
  • Drawing meaningful inferences from data
  • Understanding and interpreting graphs and charts
  • Analyzing and interpreting tables
  • Visualizing data through various techniques
  • Applying statistical analysis to interpret data
  • Identifying patterns and trends in data
  • Applying data analysis techniques to solve problems
  • Understanding data visualization principles
  • Performing data-driven decision making

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Data Interpretation Assessment Test?

  • Reading data

    Reading data refers to the ability to understand and comprehend information presented in a numerical or textual format. This skill is important as it allows individuals to extract meaningful insights from data, enabling them to make informed decisions and solve complex problems.

  • Drawing inferences

    Drawing inferences involves using data and information to reach logical conclusions or make educated guesses. It requires a deep understanding of the context and the ability to connect the dots to uncover underlying patterns or relationships. Assessing this skill helps evaluate an individual's analytical thinking and problem-solving abilities.

  • Interpreting graphs

    Interpreting graphs involves understanding and making sense of visual representations of data, such as line graphs, bar charts, or pie charts. It requires the ability to analyze trends, identify patterns, and extract insights from the visual depiction of information. Evaluating this skill is crucial as it assesses an individual's ability to derive knowledge from data visualization.

  • Analyzing charts

    Analyzing charts refers to the capability of extracting meaningful information from charts, such as histograms, scatter plots, or box plots. It involves interpreting various data points, understanding relationships, and detecting anomalies or trends within the chart. Assessing this skill helps gauge an individual's ability to make data-driven decisions based on graphical representations.

  • Analyzing tables

    Analyzing tables involves comprehending and extracting relevant information from tabular data structures. It requires the capacity to identify patterns, compare data points, and derive insights from the organized format. Evaluating this skill allows recruiters to assess an individual's attention to detail and quantitative data analysis skills.

  • Data visualization

    Data visualization refers to the practice of representing data in a visual or graphical format to enhance understanding and communication. It involves creating clear and visually appealing charts, graphs, or dashboards to present complex data sets or trends. Measuring this skill helps evaluate an individual's ability to communicate insights effectively through visual means.

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Data Interpretation Assessment Test to be based on.

    Line graphs
    Bar charts
    Pie charts
    Scatter plots
    Data points
    Data trends
    Data patterns
    Data comparison
    Data interpretation techniques
    Data visualization methods
    Identifying outliers
    Data analysis
    Data summary
    Data inference
    Data representation
    Data exploration
    Data manipulation
    Data aggregation
    Data extraction
    Data reporting
    Data forecasting
    Discrete data
    Continuous data
    Correlation analysis
    Regression analysis
    Statistical significance
    Data accuracy
    Data reliability
    Data validity
    Data completeness
    Data interpretation skills
    Analyzing trends
    Identifying relationships in data
    Decision-making based on data
    Interpreting data from different sources
    Data-driven decision making
    Visualization tools
    Data analysis software
    Data interpretation competency
    Effective data communication
    Data literacy
    Data-driven insights
    Data-driven problem-solving
    Data interpretation best practices
    Data interpretation limitations
    Data interpretation challenges
    Data interpretation strategies
    Exploratory data analysis
    Data classification
    Data visualization techniques
    Data interpretation proficiency
    Data interpretation complexity
    Data interpretation accuracy
    Data interpretation errors
    Data interpretation efficiency
    Predictive analysis
    Data extrapolation
    Data interpolation
    Data visualization skills
    Qualitative data analysis
    Quantitative data analysis
    Data representation methods
    Data interpretation methods
    Interpreting data biases
    Data interpretation tools
    Data presentation
    Data comprehension

What roles can I use the Data Interpretation Assessment Test for?

  • Data Analyst
  • Data Scientist
  • Business Analyst
  • Data Engineer
  • Database Administrator
  • Data Manager
  • Financial Analyst
  • Market Research Analyst
  • Consultant
  • Operations Analyst

How is the Data Interpretation Assessment Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Applying data interpretation skills in real-world scenarios
  • Manipulating and analyzing large data sets
  • Applying advanced statistical techniques to draw insights
  • Creating data visualizations to communicate findings
  • Utilizing data visualization tools
  • Designing informative and insightful graphs and charts
  • Applying data mining techniques to extract knowledge
  • Implementing appropriate data analysis methods
  • Validating and verifying data interpretations
  • Presenting data interpretations effectively
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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

reduction in screening time

Data Interpretation Hiring Test FAQs

What is data interpretation test?

The data interpretation test evaluates candidates' ability to interpret data presented in the form of tables, graphs and charts. This pre-employment assessment can be used by recruiters to identify which candidates have the data & aptitude skills to do well on the job.

What type of questions does the Data interpretation test include?

The Data interpretation pre-employment test is comprised of scenario-based questions that require the candidates to:

  • Analyze numeric data
  • Understand the given information (from tables, graphs and charts)
  • Calculate values using mathematical skills
  • Draw inferences from data
  • Identify when provided data is not sufficient to draw a particular conclusion
  • Establish correlations by examining relationships between data points

Can I combine the data interpretation test with an aptitude test?

Yes, you can get a custom test which include the data interpretation test & aptitude test (logical reasoning, numerical reasoning, abstract reasoning, spatial reasoning etc).

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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