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About the test:

The AI Product Manager Test is designed to assess a candidate's knowledge and skills in managing AI-driven products. It evaluates understanding of AI concepts, product strategy, customer insights, project management, and data analysis.

Covered skills:

  • Story telling
  • Generative AI applications
  • Project Management
  • Communication Skills
  • AI fundamentals
  • Data Modeling
  • Data Analysis
  • Business Analysis

9 reasons why
9 reasons why

Adaface AI Product Manager Assessment Test is the most accurate way to shortlist AI Product Managers



Reason #1

Tests for on-the-job skills

The AI Product Manager 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:

  • Ability to create and manage product roadmaps
  • Skillful in conducting business analysis and gathering requirements
  • Understanding of artificial intelligence concepts and applications
  • Proficiency in data modeling techniques
  • Experience in project management and agile methodologies
  • Strong data analysis skills for informed decision making
  • Excellent communication skills for effective collaboration
  • Ability to conduct thorough business analysis
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 AI Product Manager Test will be non-googleable.

🧐 Question

Easy

Advanced PLG Strategy and Customer Success
Product Led Growth
Solve
You are a product manager at a B2B SaaS company that has recently transitioned to a product-led growth (PLG) strategy. The company has always had a strong focus on customer success and wants to ensure this continues under the new strategy. You have been asked to recommend a strategy that aligns customer success with the PLG approach. 

You have the following data:

1. The company's product has a free trial version with limited features.
2. The conversion rate from free trial to paid customers is 15%.
3. The churn rate for paid customers is 5%.
4. The average customer support ticket resolution time is 48 hours.
5. The Net Promoter Score (NPS) is 30.

Which of the following strategies would best align customer success with the PLG approach?
A: Increase the number of features in the free trial version to attract more users.
B: Decrease the price of the paid version to increase the conversion rate.
C: Improve the product's user experience and provide self-service resources to empower users.
D: Increase the customer support team size to reduce ticket resolution time and improve customer satisfaction.
E: Launch a referral program to improve the NPS and attract more users through word-of-mouth.

Medium

Increase conversion
Solve
Your friend, Missy opened a new online store to sell heels. The heels come in 6 sizes: 34, 36, 38, 40, 42, 44. Missy did not want to invest too much capital upfront, so she decided to stock only 3 sizes: 36, 38 and 40 and display “out of stock” message for the remaining sizes. She used Google and Facebook ads to get visibility, and the market responded well. A lot of people ordered heels in the sizes she stocked, so she kept restocking the same sizes as they kept selling out.
She meets you over a cup of coffee and shares her story, and asks if you have any recommendations to increase conversion. What would you recommend?
A: Set up analytics and custom events on her online store to check how many people are clicking on the sizes she doesn’t have in stock.

B: Setting up analytics is not a good idea since it reduces website speed and impacts user experience.

C: Change CTA button to “Buy Now” to increase sales.

D: Procure a larger variety of heels in the same sizes that have been selling out.

E: It is possible that a different combination of heel sizes would increase conversion. 

F: Try a smaller stock of all the other sizes just to see if it sells.

G: Call up some of her customers to understand which sizes they are looking for and understand the market need.

H: Use FOMO (fear of missing out) to your advantage with messaging like “this item is in 43 carts”

I: Pick only 5 star reviews you have received and display on your store for each product to increase trust.

Easy

Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis
Solve
You are a product manager responsible for introducing a new product line of high-end headphones into the market. These headphones are designed for audiophiles and music enthusiasts who seek premium sound quality and craftsmanship. As part of your pricing strategy, you need to determine the most suitable pricing approach.

Which pricing approach would be most appropriate for this scenario?

Medium

Product Lifecycle and Marketing Strategy
Product Lifecycle Management
Marketing Strategies
User Acquisition
Solve
You are a product manager at a tech company that has developed a new AI-powered photo editing app. The product is now in the growth stage of its lifecycle, with steadily increasing user numbers each month.

The marketing team has proposed two strategies:
1. Strategy A: Invest heavily in social media advertising to acquire new users.
2. Strategy B: Focus on improving SEO and content marketing to increase organic user acquisition.

Based on the product's lifecycle stage, which strategy should be prioritized and why?
A: Strategy A, because it is necessary to rapidly acquire new users during the growth stage.
B: Strategy B, because it is important to focus on organic user acquisition during the growth stage.
C: Strategy A, because social media advertising always leads to higher user acquisition.
D: Strategy B, because SEO and content marketing always lead to higher user acquisition.
E: The decision cannot be made without additional information.

Easy

Safe distancing measures
Solve
Pink Village is the leading movie theatre in Singapore, and offers a wide variety of new and upcoming movie releases with varied cinematic experiences. Given the coronavirus pandemic, they need to implement safe distancing measures. They came to the conclusion that after every 2 seats in a row, 2 seats should be kept vacant. 

They need to alter the online booking experience accordingly, such that users should not be able to purchase an odd number of tickets. You are the product manager for the online ticketing system. What changes would you make?
 image
A: Users should be able to purchase any number of tickets.

B: The “Buy Now” button should disappear if the user has selected an odd number of tickets. 

C: Users who select an odd number of seats should see an error pop-up when they click on the “Buy Now” button. 

D: When a user selects an odd number of tickets, they should see a message on the same screen notifying them of the restriction. 

E: If a user is trying to purchase 3 tickets, they should be charged for 4 tickets. 

F: This is an extremely confusing flow, we should temporarily halt online bookings, and only allow users to purchase tickets at the movie theatre.

Medium

PV of customer segments
Market Segmentation
ROI
CLV
Solve
A retail company is exploring new customer segments to increase sales. You are provided with the following data on three potential customer segments:

Segment A:

- Average annual revenue per customer: $500
- Average customer retention rate: 80%
- Average customer acquisition cost: $200
- Expected segment size: 2,000 customers

Segment B:

- Average annual revenue per customer: $750
- Average customer retention rate: 70%
- Average customer acquisition cost: $300
- Expected segment size: 1,500 customers

Segment C:

- Average annual revenue per customer: $1,000
- Average customer retention rate: 60%
- Average customer acquisition cost: $400
- Expected segment size: 1,000 customers
Assuming a 10% discount rate, which customer segment should the company target to maximize the return on investment? A target customer segment would have higher customer lifetime value (CLV). Note that CLV is calculated by using the following formula:

CLV = (Average Annual Revenue per Customer * Gross Margin %) * (Retention Rate / (1 + Discount Rate - Retention Rate)) - Customer Acquisition Cost

Easy

Supply Chain Management
Cost Reduction
Solve
A company is considering two options to optimize its supply chain and reduce costs. The following data has been provided for each option:

Option Alpha:

- Annual transportation cost reduction: $300,000
- Annual inventory carrying cost increase: $250,000
- One-time implementation cost: $100,000

Option Beta:

- Annual transportation cost reduction: $200,000
- Annual inventory carrying cost increase: $150,000
- One-time implementation cost: $50,000

As a business analyst, determine which option provides a higher net cost reduction over a 3-year period.
A: Option Alpha provides a higher net cost reduction.
B: Option Beta provides a higher net cost reduction.
C: Both options provide the same net cost reduction.
D: Neither option provides a net cost reduction.
E: The net cost reduction cannot be determined with the given data.

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity
Solve
You are designing a data model for a healthcare system with the following requirements:
 image
A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients.
B: A separate table for each entity with foreign keys as specified, without additional tables.
C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription.
D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients.
E: A single table combining Patient, Doctor, Appointment, and Prescription into one.
F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.

Hard

ER Diagram and minimum tables
ER Diagram
Solve
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
 image
 image
 image

Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination
Solve
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes:

- VisitID
- PatientID
- PatientName
- DoctorID
- DoctorName
- VisitDate
- Diagnosis
- Treatment
- TreatmentCost

In this table:

- Each VisitID uniquely identifies a patient's visit and is associated with one PatientID.
- PatientID is associated with exactly one PatientName.
- Each DoctorID is associated with a unique DoctorName.
- TreatmentCost is a fixed cost based on the Treatment.

Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization?
A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables.
B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost).
C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table.
D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute.
E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details.
F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.

Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints
Solve
 image
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details?
A: A Student can major in multiple Departments.
B: An Instructor can belong to multiple Departments.
C: A Course can be offered by multiple Departments.
D: Enrollment records can link a Student to multiple Courses in a single semester.
E: Each Course must be associated with an Enrollment record.
F: A Department can offer courses without having any instructors.
🧐 Question🔧 Skill

Easy

Advanced PLG Strategy and Customer Success
Product Led Growth

2 mins

Product Management
Solve

Medium

Increase conversion

2 mins

Product Management
Solve

Easy

Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis

2 mins

Product Management
Solve

Medium

Product Lifecycle and Marketing Strategy
Product Lifecycle Management
Marketing Strategies
User Acquisition

2 mins

Product Management
Solve

Easy

Safe distancing measures

2 mins

Product Management
Solve

Medium

PV of customer segments
Market Segmentation
ROI
CLV

3 mins

Business Analysis
Solve

Easy

Supply Chain Management
Cost Reduction

2 mins

Business Analysis
Solve

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity

2 mins

Data Modeling
Solve

Hard

ER Diagram and minimum tables
ER Diagram

2 mins

Data Modeling
Solve

Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination

3 mins

Data Modeling
Solve

Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints

2 mins

Data Modeling
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Advanced PLG Strategy and Customer Success
Product Led Growth
Product Management
Easy2 mins
Solve
Increase conversion
Product Management
Medium2 mins
Solve
Pricing Strategy for a New Product Line
Pricing Strategy
Market Analysis
Product Management
Easy2 mins
Solve
Product Lifecycle and Marketing Strategy
Product Lifecycle Management
Marketing Strategies
User Acquisition
Product Management
Medium2 mins
Solve
Safe distancing measures
Product Management
Easy2 mins
Solve
PV of customer segments
Market Segmentation
ROI
CLV
Business Analysis
Medium3 mins
Solve
Supply Chain Management
Cost Reduction
Business Analysis
Easy2 mins
Solve
Healthcare System
Data Integrity
Normalization
Referential Integrity
Data Modeling
Easy2 mins
Solve
ER Diagram and minimum tables
ER Diagram
Data Modeling
Hard2 mins
Solve
Normalization Process
Normalization
Database Design
Anomaly Elimination
Data Modeling
Medium3 mins
Solve
University Courses
ER Diagrams
Complex Relationships
Integrity Constraints
Data Modeling
Medium2 mins
Solve
Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

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 AI Product Manager 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 AI Product Manager 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

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 AI Product Manager Online Test

Why you should use Pre-employment AI Product Manager Test?

The AI Product Manager 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:

  • Product-management: Ability to manage and oversee the development and launch of AI products
  • Business-analysis: Proficiency in analyzing business processes to identify requirements for AI product development
  • Artificial-intelligence: Understanding of AI concepts, algorithms, and techniques
  • Data-modeling: Skill in designing and modeling data structures for AI applications
  • Project-management: Capability to lead and coordinate AI projects from initiation to completion
  • Data-analysis: Proficiency in analyzing and interpreting data to drive AI product decisions
  • Communication-skills: Effective communication to convey complex AI concepts and requirements
  • Storytelling: Ability to effectively communicate AI product goals, results, and recommendations through storytelling
  • Generative-AI-applications: Knowledge of generating creative and intelligent outputs using AI algorithms
  • AI-fundamentals: Proficiency in foundational AI concepts and principles

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 AI Product Manager Test?

  • Storytelling

    Storytelling is the art of conveying information or concepts through engaging narratives. In the context of AI product management, storytelling is crucial for effectively communicating the value and impact of AI solutions to stakeholders and customers.

  • AI Fundamentals

    AI fundamentals encompass the foundational knowledge and understanding of various AI concepts, techniques, and algorithms. This skill measures the candidate's proficiency in fundamental AI principles, enabling them to make informed decisions and contribute effectively to AI product management.

  • Generative AI Applications

    Generative AI applications involve the use of algorithms to generate original content, such as text, images, or music. Assessing this skill helps evaluate the candidate's ability to leverage generative AI techniques to create innovative and creative solutions in product management.

  • Data Modeling

    Data modeling involves the process of designing the structure and organization of data to enable efficient storage, retrieval, and analysis. This skill is important for AI product managers as it aids in shaping the data architecture and ensuring data-driven decision making throughout the product lifecycle.

  • Project Management

    Project management encompasses the planning, organizing, and executing of projects to achieve specific goals and objectives. Evaluating this skill helps assess the candidate's ability to effectively manage AI product development, ensuring timely delivery and successful implementation.

  • Data Analysis

    Data analysis involves examining and interpreting data to uncover trends, patterns, and insights. This skill is essential for AI product managers as it enables them to make data-driven decisions, optimize product performance, and identify areas for improvement.

  • Communication Skills

    Communication skills refer to the ability to effectively convey information, ideas, and requirements to various stakeholders. In the context of AI product management, strong communication skills are crucial for collaborating with cross-functional teams, presenting ideas, and gaining support for AI initiatives.

  • Business Analysis

    Business analysis involves evaluating business processes, identifying problems, and recommending solutions for improved efficiency and profitability. This skill is measured in the test as it enables AI product managers to understand the wider business context, analyze market trends, and align AI strategies with organizational goals.

  • 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 AI Product Manager Test to be based on.

    Product roadmap
    Market research
    Competitor analysis
    User story mapping
    User requirements
    Machine learning
    Natural language processing
    Computer vision
    Recommender systems
    Entity-relationship modeling
    Conceptual modeling
    Physical modeling
    Data flow diagrams
    Project planning
    Sprint planning
    Agile methodologies
    Kanban boards
    Data analysis techniques
    Data visualization
    Statistical analysis
    Data-driven decision making
    Effective communication
    Stakeholder management
    Interviewing techniques
    Critical thinking
    SWOT analysis
    Gap analysis
    Feasibility study
    Requirements elicitation
    User story writing
    Business process modeling
    Root cause analysis
    Use case modeling
    Decision trees
    Regression analysis
    Product documentation
    Risk management
    Prototyping
    Storytelling techniques
    Value proposition
    ROI analysis
    Customer segmentation
    Market trends analysis
    Economic impact assessment
    Business model canvas
    Market requirements document
    User acceptance testing
    Data quality assessment
    Database design
    Cloud computing
    Artificial neural networks
    Big data analytics
    Data warehousing
    Data extraction
    Data cleaning
    Sentiment analysis
    A/B testing
    Data privacy and ethics
    Change management
    Problem-solving skills
    Time management

What roles can I use the AI Product Manager Test for?

  • AI Product Manager
  • Business Analyst
  • Data Analyst
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Technical Aptitude in Python
  • Leadership Assessment
  • Placement Assessment
  • Campus Placement Assessment

How is the AI Product Manager 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

  • Experience in AI project implementation
  • Ability to design and develop AI models
  • Understanding of AI ethics and fairness principles
  • Experience with integrating AI models into production systems
  • Proficiency in natural language processing algorithms
  • Knowledge of machine learning algorithms and techniques
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Proficiency in data visualization techniques for AI analysis
  • Ability to interpret and explain AI model outputs to stakeholders
  • Experience with AI deployment and scaling in cloud environments
  • Experience in AI project management and team coordination
Singapore government logo

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.


85%
reduction in screening time

AI Product Manager Hiring Test FAQs

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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