When you finish a technical interview at a major tech company, your interviewer doesn't just give a thumbs up or thumbs down. They fill out a detailed feedback packet.
This packet is eventually reviewed by a hiring committee who has never met you. They will make a multi-hundred-thousand-dollar hiring decision based entirely on the signals your interviewer recorded.
So, what exactly are they grading? While every company (Google, Meta, Amazon, Apple, Netflix) has its own specific terminology, they all evaluate candidates against four universal pillars.
The Four Pillars of the Technical Rubric
Let's break down the difference between a "Hire" and a "Strong Hire" in each category.
1. Problem Solving
The interviewer wants to see if you can take an ambiguous problem, break it down, and find an optimal approach.
- Weakness (No Hire): Jumps straight into coding without a plan. Gets stuck and cannot proceed without heavy hinting. Proposes a brute-force solution and cannot optimize it.
- Competence (Hire): Finds an optimal solution but needs a minor hint to get there. Understands the time and space complexity.
- Excellence (Strong Hire): Quickly identifies the optimal data structures. Proactively discusses the tradeoffs of different approaches (e.g., "We could use a recursive DFS here for cleaner code, but an iterative approach avoids call stack limits").
2. Coding Proficiency
This isn't about knowing the exact standard library method off the top of your head. It's about fluency, organization, and correctness.
- Weakness (No Hire): Struggles with basic syntax. Writes messy, deeply nested code. Creates bugs that they don't catch.
- Competence (Hire): Writes mostly correct code. Might have a minor off-by-one error but fixes it quickly. Code is logical and readable.
- Excellence (Strong Hire): Writes production-quality code on the whiteboard/editor. Uses excellent abstractions, descriptive variable names, and modular helper functions. The code is elegant.
Writing pseudocode is fine for planning, but the rubric requires you to write compiling, working code. If you spend 35 minutes writing pseudocode and 5 minutes writing real code, you will likely fail the Coding Proficiency section.
3. Communication
This is the most overlooked part of the rubric, and it is weighted heavily.
- Weakness (No Hire): Codes in complete silence. Ignores the interviewer's suggestions. Fails to explain why they are doing what they are doing.
- Competence (Hire): Explains their approach clearly before coding. Answers the interviewer's questions well.
- Excellence (Strong Hire): Drives the conversation. Treats the interview like a collaborative pair-programming session. Actively checks in ("Does this approach align with what you're looking for?").
4. Verification & Testing
FAANG companies want engineers who don't rely on QA to find their bugs.
- Weakness (No Hire): Finishes coding, says "I'm done," and waits for the interviewer to find the flaws.
- Competence (Hire): Runs through a standard "happy path" test case to ensure the basic logic holds.
- Excellence (Strong Hire): Proactively lists edge cases (null inputs, empty arrays, massive datasets) and dry-runs the code line-by-line to prove it handles them gracefully. Catches and fixes their own bugs during the dry-run.
How to use this to your advantage
Knowing the rubric changes how you prepare. You stop just grinding LeetCode to memorize solutions, and you start practicing the behaviors that generate "Strong Hire" signals.
Next time you practice a problem, grade yourself. Did you communicate clearly? Did you dry-run your code before checking the answer?
Want to know how you score against a FAANG-style rubric? Rubduck conducts spoken-first interviews and gives you a detailed breakdown of your problem-solving, coding, and communication skills. Get your score today.