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The clearest employer-published guidance in the available sources comes from Microsoft and Amazon, and both say interview processes vary by role. Microsoft gives a general outline of interview conversations; Amazon explains its interview loop and points candidates to Leadership Principles, behavioral questions and STAR. The available Google details and Meta technical-interview claims need more qualification. A 2026 article by Payanai says its author gathered company guidance into Nokku, a free interview-prep hub, but the site’s practice content and testing claims are the author’s—not an independent audit.
What do the company sources actually establish?
It helps to separate three kinds of information: statements on employer-published pages, a publisher’s summaries of company details, and claims about Nokku itself. The distinction matters because an interview guide is not proof that every team, level or country uses the same format.
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| Company | What the employer-published material says | Scope and limits |
|---|---|---|
| The DEV article says Google describes structured interviews with common questions and scoring rubrics. It also reports that at least one in-person round returned in 2025. Those details are reported by the article. | The Google Careers material available for this comparison did not establish substantive interview details. Treat the specific claims above as the article’s summary, not as independently confirmed current guidance for all roles. | |
| Amazon | Amazon says its application and interview process differs by role. Its interview-loop page says candidates meet individually with employees assessing different aspects of their skills and experience, and links preparation topics including Leadership Principles, behavioral questions and STAR. | Amazon describes a role-dependent process. Its hiring hub offers resources for several job families, so the relevant preparation material depends on the role. |
| Microsoft | Microsoft says most interviews involve two to four conversations with potential teammates and cross-functional colleagues, each lasting up to an hour. It says interviews may be by phone, Teams or in person, and asks candidates to give specific examples, explain how they would approach role tasks and connect their skills to the position. | Microsoft says format and next steps vary by role. Its early-career guidance separately emphasizes base knowledge, critical thinking, problem solving and ability to learn; role requirements can include coding, portfolios or other work samples. That page is not a universal description of every interview. |
| Meta | A Meta-hosted data-science preparation guide advises candidates to review the job description, research Meta and the role, explain their contributions, prepare thoughtful questions and be ready to explain why they recommend an approach. | The guide is specifically for data science. The DEV article also summarizes technical-screen, full-loop and AI-assistant details, but those claims are not confirmed here by current official guidance for a specific Meta role. |
These are employer descriptions and preparation materials, not population statistics or a guarantee of what any individual candidate will encounter. In particular, a round count or format should not be treated as universal unless the employer’s guidance says it applies to the role in question.
What should candidates make of the Google and Meta details?
Google: distinguish the article’s summary from verified guidance
The DEV article describes structured interviews, common questions and scoring rubrics, and says at least one in-person round returned in 2025. Those are useful prompts for what to investigate, but the official Google material available here does not substantiate those details. Check the current instructions for the specific opening rather than assuming that the article’s description applies to your position or hiring cycle.
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Meta: use the data-science guide only within its scope
The Meta PDF offers concrete preparation advice for data-science candidates, including explaining their own contributions and reasoning behind recommendations. It does not establish a company-wide technical interview script. The DEV article’s additional technical-interview and AI-assistant descriptions should likewise be treated as its account unless confirmed in current, role-specific Meta guidance.
What does Nokku add?
Payanai’s Nokku hub presents itself as a free resource without sign-up and says it is not affiliated with the companies it covers. In the October 1, 2026 DEV article, the author says they read official hiring pages and built guides that identify sources and a facts-checked date, while flagging unsupported rumors. These are the publisher’s descriptions of the site, not an independent review.
The author describes Nokku as including process timelines, interviewer evaluation criteria, pattern flashcards, behavioral scenarios, three original practice questions with solutions, and a four-week plan. The author also says the questions are original rather than leaked or copied and that the solutions were tested on randomized inputs. Those statements describe what the author says they built; they do not establish an independent test of the exercises or their results.
How to use employer guidance and a prep hub without overgeneralizing
- Start with the exact opening. Read the job description and the employer’s current instructions for that role. Check whether the material is for students or early-career candidates, a particular discipline, or a broader hiring process.
- Separate fixed guidance from reported detail. Treat company-published information as the employer’s stated guidance. Keep secondary summaries—especially the Google and Meta specifics above—labeled as summaries until you can confirm them for your role.
- Prepare evidence, not memorized scripts. Build examples that show your own contribution, decisions and reasoning, then practice explaining them clearly. Use sample questions as practice prompts rather than assuming they will appear in an interview.
- Follow assessment rules. Microsoft’s current Candidate Code of Conduct says candidates should represent their skills honestly and demonstrate their own abilities in interviews and assessments without outside help unless it is explicitly permitted. It supports responsible AI use in preparation when the result still reflects the candidate’s capabilities. This is Microsoft guidance, not a statement of another employer’s AI policy.
- Recheck details close to the interview. Formats and next steps can vary by role, and a dated summary may not reflect a later change. Use the recruiter’s instructions and current employer pages for logistics and permitted resources.
What this comparison can—and cannot—tell you
The strongest practical value here is a source-aware starting point: Amazon and Microsoft publish useful guidance with explicit role-dependent qualifications, while the available Meta resource is for data science. The Google interview specifics and the extra technical-interview detail attributed to Meta remain secondary summaries in this comparison. Nokku may organize preparation material in one place, but candidates should use it alongside current role-specific employer instructions, not as a promise of a single company-wide interview script.
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