The final two weeks: review more of what you know, add nothing new at the end, and sleep
From T−14, review more of what you know; from T−7, add nothing new; from T−3, do less; sleep every night.
Predict first
Before you read: predict
A backend engineer at a chat company has her final round, a design round on message delivery, at 10:00 tomorrow. Over the past month she has studied fan-out and delivery receipts five or six times each; she has never studied Raft. It is 19:00, and she usually sleeps from 23:00 to 07:00.
Going by a meta-analysis of sleep and memory (read 2026-10-15), which evening will sleep help her keep the most from?
The 30-second version
Two weeks out, raise the retention target on your core material, so known cards come back sooner, and add new material only where a round is weak. From T−7, nothing new: rehearse your stories and project dossier aloud. From T−3, half volume and one short mock. Sleep a full night throughout: sleep keeps what you studied.
From T−14, review more of what you know; from T−7, add nothing new; from T−3, do less; sleep every night.
How it works
Step 1 of 13
Analogy: Bell-ringers before a peal attempt
A church tower's band has booked a peal: three hours of ringing, from memory, on a fixed date. Two weeks out, they ring the method they already know on more practice nights than usual. Nobody starts a new method in the last week: a new method needs many practice nights before it holds. Three days out they ring one short quarter peal, then practise lighter. The night before, everyone sleeps. (The band and its peal are the scene's own.)
| In the tower | In the last two weeks |
|---|---|
| More practice nights on the known method | A higher target on known material |
| A new method needs many nights | A new card comes back several times |
| No new method in the last week | Nothing new from T−7 |
| One short quarter peal three days out | One short mock at T−3 |
| A full night's sleep before the peal | Sleep every night |
Breaks down when: the band hears every slip as it happens, while your gaps show only when you test yourself. Wrong inference: “I'll notice what I've forgotten”: test it on the card.
In real terms: raise the target early, stop adding at T−7, do less at T−3, and sleep.
Examples, run for real
EXH-4550 is a synthetic student preparing for ExamHall's final exam (an invented case), 14 days out. Both plans have the same days.
EXH-4550 revision plan · ExamHall final exam in 14 days (invented) · SM-2 scheduling model
T−14 core deck retention 0.90, goal 0.95 · Interval Modifier 1.00 -> log 0.95 / log 0.90 = 0.49
card "third normal form": Good at T−11, gap 6 -> next gap 7 days, due T−4 (at 1.00: 15 days, T+4)
new cards: 24 on T−13, T−10 · all in chapters below target · after T−7: 0
T−3 one 30-minute mock on the weakest chapter · half volume T−3 to T−1
nights under 7 h: 0 of 14
plan rules broken: none
MR !4850 the same 14 days, crammed
T−14 core deck modifier left at 1.00 · card "third normal form": Good at T−11, gap 6 -> next gap 15 days, due T+4, after the exam
new cards: 45 on T−6, T−4, T−1 · 3 of 3 batches in chapters already at target · after T−7: 45
T−3 no mock · full volume to T−1
nights under 7 h: 4 of 14 (nights after T−5, T−3, T−2, T−1; the last 5 h)
plan rules broken: target not raised at T−14, new cards after T−7, new cards in chapters at target, no T−3 mock, short nights
The revision plan sets the core deck's modifier at T−14, so a card reviewed at T−11 comes back at T−4 instead of after the exam. Its new cards go only to two weak chapters, and stop well before T−7.
The crammed plan leaves the modifier at 1.00, adds 45 new cards in the last six days, skips the mock, and sleeps short on four of the last five nights.
The model counts days; it cannot say how either student would score. Seven hours is this example's line, not a finding.
Try it
Answer first, then check. Nothing is saved.
Question 1 of 6
On this lesson's scheduling model, a chat engineer's P0 deck runs Anki's FSRS scheduler. She meant to raise her P0 deck's desired retention from 0.90 to 0.95 at T−14, but does it at T−3, with “reschedule cards on change” left off. Her six P0 cards, each with the day it was last reviewed and its current gap: presence heartbeats, T−9, 7 days; message ordering, T−12, 10 days; read receipts, T−8, 14 days; group fan-out, T−10, 16 days; typing indicators, T−4, 20 days; push fallback, T−5, 12 days.
How many of the six come up for review before the interview day (T−1 or earlier)?
Question 2 of 6
On this lesson's scheduling model, with a week to go, a chat engineer decides to learn Kafka consumer groups, a topic she has never studied. From T−6 to T−2 she adds 15 new cards a day to a deck on Anki's older SM-2 scheduler whose learning steps are 1m 10m 1d and whose graduating interval is 3 days, and she answers Good every time.
How many reviews of these new cards fall due on T−1?
Question 3 of 6
A chat engineer's final round is at 17:00. She is on the on-call rota the night before, 22:00 to 06:00, and the night is usually busy. Her plan is to work the shift, then take a two-hour nap from 11:00 to 13:00 before the round. A colleague offers to swap shifts with her.
Going by a meta-analysis of sleep and memory (read 2026-10-15), what should she do?
Question 4 of 6
On this lesson's scheduling model, a chat engineer's P0 deck runs Anki's older SM-2 scheduler, and her measured retention is 0.90. At T−14 she means to set the Interval Modifier by the manual's formula for a goal of 0.95; at that setting, its reviews would take about 30 minutes a day. She is tempted by a goal of 0.99 instead. Take reviews a day to scale with 1 ÷ gap.
About how many minutes a day would the deck take at 0.99?
Question 5 of 6
At T−3 a chat engineer who forgot at T−14 raises her P0 deck's desired retention from 0.90 to 0.95, and ticks “reschedule cards on change” so that the change applies before the interview.
Going by the Anki manual (read 2026-10-15), what should she expect over the next three days?
Question 6 of 6
On this lesson's scheduling model, a chat engineer's P0 deck runs Anki's older SM-2 scheduler, with the Starting Ease at its default. Her measured retention is 0.90; wanting 0.95, at T−14 she sets the Interval Modifier by the manual's formula. Her card on message ordering was last reviewed at T−20 with an 8-day gap. She answers Good when it comes up.
After that review, when is the card next due?
Go deeper
Pro tip
Keep a two-line answer ready for “How did you prepare for today?”: what you reviewed, and how you rehearsed it. Asked “Is there anything that would help you do your best today?”, name one practical thing, such as a minute to sketch before answering.
Read the sources for what they are: S1 is a flashcard program's manual, so it says how Anki schedules cards, not how memory works; S2 is one meta-analysis of memory studies, and none of them is an interview.
Sources
- S1 · Anki Manual, “Deck Options”, https://docs.ankiweb.net/deck-options.html (served from
docs.ankiweb.net/manual/deck-options), read 2026-10-15, saved byfetch-sources.mjsassources/anki-deck-options.txt; the manual of a flashcard program, as of 2026-10-15. It describes both of Anki's schedulers: FSRS (desired retention, rescheduling on change) and the legacy SM-2 options (graduating interval, starting ease, interval modifier). - S2 · Berres, S. & Erdfelder, E. (2021), “The sleep benefit in episodic memory: An integrative review and a meta-analysis”, Psychological Bulletin 147(12), 1309–1353, https://psycnet.apa.org/record/2022-52851-004, read 2026-10-15. The psycnet page answers a scripted fetch with a bot-check page and no abstract, so
fetch-sources.mjssaved the same PsycInfo abstract from PubMed (PMID 35404637) assources/berres-erdfelder-2021.txt(the CL-033 treatment); only the abstract is read, as of 2026-10-15.
Related lessons
- Read first: Pressure ladder and human mocks: rehearse up to being watched, and check your own score against the interviewer's
- Related: Running a noisy, parallel pipeline: one round is one sample, so run several and log each one
- Related: Interview-day protocol (remote): test your setup the evening before, warm up on what you know, and start each round fresh
Checked against the tools and docs as of 2026-10-15.