Interview prep timeline: 7 days to a FAANG coding loop

Seven days is not enough to learn data structures from scratch. It is enough to take someone who already codes and sharpen them into interview shape: fast pattern recognition, clean code under a clock, and a behavioral story bank that does not fall apart under follow-up questions. This is a focused taper, not a crash course.

This guide gives you a realistic day-by-day plan for the week before a FAANG-level coding loop, the seven patterns worth drilling, and how to prepare the behavioral round at the same time.

What 7 days can and cannot fix

Set expectations first. In one week you can sharpen recognition of common patterns, get fast at translating an idea into working code, and build five to seven solid behavioral stories. You cannot learn dynamic programming for the first time, build deep systems-design knowledge, or fix a genuine gap in core data structures.

If you already solve medium problems with effort but slowly, this plan works. If binary search trees are new to you, you need more than a week, and no schedule changes that. Be honest about which group you are in before you start.

The day-by-day plan

The structure moves from easiest patterns to hardest, then converts everything into timed mock practice in the last two days. Hours assume you can carve out focused blocks. Scale down proportionally if you are prepping around a full-time job.

Day	Focus	Hours
1	Arrays, strings, two pointers, sliding window	3 to 4
2	Hashmaps, stacks, queues	3 to 4
3	Trees, BFS and DFS, recursion	4
4	Graphs, topological sort, union-find	4
5	Dynamic programming, intervals, heaps	4
6	Timed mock interviews, out loud	3 to 4
7	Light review, behavioral rehearsal, rest	2

Solve four to six problems per topic day, not twenty. Quality of understanding beats volume. For every problem, after you solve it, write one sentence naming the pattern, so your brain files it under a retrievable label rather than as an isolated puzzle.

Drill the patterns, not the problems

FAANG coding questions are recombinations of a small set of patterns. Memorising 200 specific solutions does not transfer. Recognising which of seven patterns a new question maps to does. These are the seven that cover most loops:

1. Two pointers and sliding window for subarray and substring problems.
2. Hashmap frequency counting for "find the duplicate, the anagram, the pair that sums to k."
3. BFS and DFS traversal for trees, grids, and graphs.
4. Binary search on the answer for "minimum value that satisfies a condition."
5. Dynamic programming, the 1D and 2D table forms, for counting and optimisation.
6. Heap or top-k for "k largest, k closest, merge sorted streams."
7. Backtracking for permutations, combinations, and subset generation.

When you see a new problem in the interview, your first move is not to code. It is to ask which of these seven it resembles. That single habit is most of what separates candidates who freeze from candidates who start cleanly.

Prep the behavioral round in parallel

Most candidates spend the full week on code and walk into the behavioral round with nothing prepared. At FAANG companies the behavioral interview can sink an otherwise strong loop. Build five to seven stories in the STAR structure (situation, task, action, result), each covering a different theme: a conflict, a failure, a leadership moment, an ambiguous problem you scoped, and a time you disagreed with a decision.

Rehearse them out loud, because a story that reads well silently often rambles when spoken. The Interview Prep Coach takes your raw experience and builds a complete STAR answer for the exact question, then pressure-tests it with the follow-up an interviewer would actually ask. Working through five questions this way in an evening beats re-reading a list of sample answers.

Recruiters and interviewers will also open your profile before the loop. A profile that contradicts your resume or reads as stale costs you credibility before the first question. Spend 30 minutes tightening it with the LinkedIn Rewriter Coach so the story is consistent end to end.

The day before and the morning of

Do not cram on day 7. Cramming the night before a coding loop raises anxiety and lowers performance. Instead:

• Re-solve two problems you already know cold, to walk in feeling capable rather than rattled.
• Read through your behavioral stories once, out loud.
• Test your setup: IDE or shared editor, camera, microphone, and a quiet room.
• Sleep a full night. A rested brain recognises patterns faster than a tired one that did three extra problems.

On the morning of, do one easy problem to warm up your thinking, the same way you would not sprint a race cold. Then stop. You are as ready as the week allowed.

Frequently asked questions

Is 7 days really enough for a FAANG loop?

It is enough if you already solve medium problems, just slowly or inconsistently. The week converts existing ability into speed and composure. It is not enough to learn data structures you have never used, and no schedule fixes a genuine fundamentals gap in a week.

How many problems should I solve in total?

Around 30 to 40 across the week, chosen for pattern coverage, not volume. Forty problems you understand deeply beat 150 you half-remember. Always name the pattern after solving.

Should I study systems design too?

Only if your loop includes it and you are at a level where it is expected, usually senior and above. For most coding-focused loops in a one-week window, your time returns more on coding patterns and the behavioral round.

What if I only have three days, not seven?

Compress to the highest-frequency patterns: two pointers, hashmaps, BFS and DFS, and one dynamic programming day, then one mock day. Drop graphs and backtracking if you must. Cover fewer patterns well rather than all of them badly.

To build and pressure-test your behavioral stories, open the Interview Prep Coach. Tighten your profile beforehand with the LinkedIn Rewriter Coach, and for ready-made examples read behavioral interview questions with answers.