Amazon Aptitude Test & Work Style Assessment 2026

Amazon is one of the world's largest employers, hiring tens of thousands of corporate, tech, operations, and graduate roles annually. Unlike most major employers, Amazon does not use SHL or Korn Ferry as its primary assessment provider. Instead, it runs a proprietary multi-stage assessment process built around its 16 Leadership Principles — a framework that shapes every stage of recruitment from the initial online test to the final interview loop.

The assessment format varies by role type (corporate, software engineering, operations) but most candidates for professional roles encounter a combination of a Work Style Assessment and a Work Simulation, followed by a structured behavioral interview loop. Aptitude tests (numerical, verbal, logical) may also appear depending on the role and region.

The Work Style Assessment (WSA) is a personality and values questionnaire that measures alignment with Amazon's culture and Leadership Principles. It typically takes 20–38 minutes and consists of forced-choice questions where you select which of two statements best describes you, or rank a set of four statements from most to least like you.

What the WSA Measures

The WSA is designed to assess behavioral tendencies across dimensions that map to Amazon's Leadership Principles, including: drive and ambition (Bias for Action, Deliver Results), customer focus (Customer Obsession), frugality and resourcefulness (Frugality), intellectual curiosity and analytical thinking (Are Right A Lot, Learn and Be Curious), and collaborative vs. independent working style (Earn Trust, Have Backbone).

How to Approach WSA Questions

• Answer authentically but with LP awareness: Amazon's scoring checks for internal consistency — contradicting yourself across similar questions flags poorly. Be genuine, but understand which LP each question maps to.
• Bias toward action and ownership: Questions that contrast "research thoroughly before acting" vs. "act quickly and adjust" lean toward Amazon's Bias for Action principle. Responses that show decisive, results-oriented thinking tend to align with Amazon's culture.
• Customer over internal process: When questions contrast customer-facing priorities with internal efficiency, Amazon's culture heavily favors Customer Obsession as the deciding factor.
• High standards, not perfectionism: Amazon values Insist on the Highest Standards, but paired with Deliver Results — responses that demonstrate high quality within real constraints outperform responses that prioritize quality at all costs.

The Work Simulation presents you with realistic job scenarios in a simulated Amazon work environment — emails, priorities, customer escalations, colleague requests, and data. You must respond to each scenario by choosing the best course of action from multiple options, often ranking responses or allocating effort across competing tasks.

The simulation typically takes 20–30 minutes and is administered alongside or after the Work Style Assessment. It is designed to measure judgment, prioritisation, and decision-making under realistic Amazon work conditions.

Common Simulation Scenario Types

• Email triage: A full inbox of messages from customers, colleagues, and managers. You must prioritise which to respond to first and draft or select appropriate responses. Customer escalations and delivery failures are typically highest priority.
• Competing priorities: You are given multiple tasks with different urgency levels, owners, and customer impact. You must allocate time and effort across them — responses that protect customer outcomes and deliver on commitments score highest.
• Judgment calls: An ambiguous situation (e.g., a colleague has made an error that has already shipped to a customer). You choose from response options ranging from covering the error to surfacing it immediately — Amazon's Have Backbone / Disagree and Commit and Earn Trust LPs guide the correct approach.
• Data interpretation: A dashboard or table of metrics requiring you to identify the key issue and recommend action. These are straightforward analytical tasks — identify the anomaly, link it to customer impact, act.

Some Amazon roles — particularly in operations, finance, data science, and certain graduate programs — include additional online aptitude tests covering numerical reasoning, verbal reasoning, and logical/abstract reasoning. These are administered via third-party platforms (historically including Criteria Corp's CCAT or regional SHL-equivalent tests) and are role-specific.

The CCAT (Criteria Cognitive Aptitude Test)

For many US-based Amazon roles, the Criteria Cognitive Aptitude Test (CCAT) is used. This is a 50-question mixed aptitude test with a strict 15-minute time limit — the average candidate answers only 24 questions. The CCAT measures general cognitive ability across verbal, numerical, spatial, and logical dimensions simultaneously. The key challenge is speed: most candidates run out of time rather than finding questions too difficult.

• Do not dwell on any single question — mark your best guess and move on. Unanswered questions score zero; an educated guess has positive expected value.
• Sequence: easy → medium → skip hard — identify question types you excel at and prioritise those in the early minutes.
• Analogies and number sequences are the most common question types and often the quickest to answer — prioritise these.

Amazon's 16 Leadership Principles are not just cultural values — they are the explicit criteria by which every interview question is designed, every answer is scored, and every hiring decision is made. Understanding them deeply is the single most important preparation you can do for any Amazon recruitment stage.

Preparing LP Stories

For the interview loop, prepare 2–3 specific STAR-format (Situation, Task, Action, Result) stories per Leadership Principle. The most commonly probed LPs in Amazon interviews are: Customer Obsession, Ownership, Bias for Action, Deliver Results, Have Backbone, Earn Trust, and Dive Deep. Stories should be specific (real project, real numbers, real outcome), recent (last 2–3 years ideally), and varied — avoid using the same example for multiple LPs.

• Week 1 — Leadership Principles deep-dive: Read and internalise all 16 LPs. For each, write down 1–2 real examples from your own experience where you demonstrated that principle. These form the foundation of every subsequent preparation step.
• Week 2 — STAR story bank: Develop a bank of 15–20 specific STAR stories covering the most tested LPs. Each story should include: context (2–3 sentences), the specific action YOU took (not "we"), and a measurable result. Practise telling each in under 2 minutes.
• Online assessments (2–3 days before): Review the Work Simulation scenario types above. For aptitude tests, use our free timed practice tests focusing on numerical reasoning and pattern recognition. For the CCAT, practise timed 50-question mixed ability tests — speed is the primary challenge.
• Technical prep (SWE/PM roles, 3–4 weeks): Software engineers should practise LeetCode medium-difficulty problems (focus: arrays, strings, trees, graphs, dynamic programming). Product managers should prepare product design and metrics case studies. Both roles include LP behavioral questions in addition to technical rounds.
• Mock interviews: Practise delivering STAR answers out loud — ideally with a partner or recording yourself. Amazon interviewers will probe for specifics: "What exactly did you do?", "What was the actual outcome?". Rehearse responding to probing follow-ups without losing the structure of your answer.