learn-interview-prep-with-phoebe / Session 1 of 6
Learn Interview Prep with Phoebe · Session 1 of 6

What the interview is actually measuring

Most interview prep starts with answers: lists of common questions, rehearsed openings, a polished story about a weakness. It works better the other way round. A data or AI interview loop is a set of measurements, each round built to read a few competencies the job needs, and the job description tells you which ones. Tonight we read a loop the way the people who designed it do, look at what decades of selection research say interviews actually predict and where that research is still arguing with itself, see what structure means from the candidate's chair, and turn one job description into a prep plan before writing a single answer.

🟢 Foundations Anyone heading into a data or AI interview Bring one job description 45 min
0-3 · Welcome 3-18 · Loops, evidence, structure 18-40 · Build-along: read the job 40-45 · Q&A
Part 0

Where we start

The running case is constructed. Ren is an invented analyst with three years of dashboards, SQL and the occasional A/B test readout, applying for a first data scientist role in product analytics. Ren has a job description, a calendar with a recruiter screen in it, and a vague plan to "practise questions". Across six sessions Ren reads the job, builds a story bank, drills the SQL round, practises against the session 4 bench, works the statistics and product case rounds, and closes with take-homes, questions and a review after every round. Everything Ren does is a move you can make with your own job description.

🎫 Clear all three quiz questions to stamp your passport Live = presented in the 45 minutes Self-study = the full depth, after class ★ Build-along = write it yourself

★ What you walk out with tonight. A map of your loop from job description to competencies to rounds, an honest summary of what interviews predict and where the researchers disagree, a list of what a structured interviewer is scoring, and a one-page prep plan with every competency rated strong, thin or missing.

A note on nerves. Interviews are stressful, and parts of these sessions are about planning your workload so the stress has less to feed on. None of it is medical or clinical advice. The body side of stress, sleep and recovery belongs to the planned move-shelf courses on Learn with Phoebe ↗.

Part 1 · covers the loop as a set of measurements

Every round reads a few competencies

5 min live

A typical data science loop has a recruiter screen, a SQL round, a statistics or experiment round, a product case, one or two behavioural conversations, and sometimes a take-home. None of them is a general test of whether you are good. Each one is built to read a handful of competencies, and most competencies are read by more than one round. The job description is where those competencies are written down, usually in the requirements and the "what you will do" list.

FROM ONE JOB DESCRIPTION TO THE ROUNDS THAT READ IT JOB DESCRIPTION A COMPETENCIES ROUNDS constructed SQL and wrangling Experiments, stats Metric choice Explaining results Pushing back Vague ask to question Learning from mistakes Data quality SQL round Stats or experiment round Product case Behavioural: 5 of 8 Take-home Most competencies are read twice; the behavioural round reads the most, which is why session 2 builds a story bank.
🔍 Click to zoom - prepare competencies, not rounds: one competency shows up in several rooms, and the behavioural room hears five of eight
LiveA competency is something a round can see3 min▶

"Strong analytical skills" is not a competency anyone can measure in 45 minutes. "Writes correct SQL against an unfamiliar schema", "designs and reads an A/B test", "chooses a metric for a new feature" and "disagrees with a stakeholder without losing them" are: each one is a thing an interviewer can watch you do or ask you to evidence. Turning the job description's adjectives into six to eight observable competencies like these is the first move, and the build-along does it on Ren's job description.

The mapping in the figure is Ren's constructed loop, but the shape is common: the technical rounds each read one or two competencies deeply, and the behavioural conversation reads several broadly, through stories. That asymmetry decides where prep time goes. A candidate who spends three weeks on SQL puzzles and an evening on stories has prepared one round for a loop where stories are heard in several.

Self-studyWhen the job description is vague3 min▶

Some job descriptions are a wish list copied from three other roles. Two moves help. First, weight what appears in the "what you will do" section over the requirements list: duties describe the work, requirements often describe an imagined candidate. Second, ask the recruiter in the screen what the loop looks like and what each round focuses on. That is an ordinary, expected question, and the answer is the most reliable map you will get. Session 6 has more on the questions candidates ask.

Real world

The analyst who prepared for the wrong round. A familiar pattern: an analyst moving into data science spends every evening for a month on algorithm puzzles because "data science interviews are technical", then meets a loop with one SQL round, a product case and two behavioural conversations, and has no prepared story about a time a metric was wrong. Nothing about the effort was wasted except its direction, and the job description had the direction written in it.

Part 2 · covers what interviews predict, and the disagreement

What the research says interviews predict

5 min live

Industrial psychologists have spent a century asking which selection methods predict later job performance. The answer you meet most often comes from one 1998 summary. A 2022 re-analysis changed most of its numbers and moved structured interviews to the top, and the people who built the 1998 numbers do not all accept the change. You do not need to settle the argument to use what both sides agree on.

VALIDITY FOR JOB PERFORMANCE: 1998 ESTIMATE AGAINST 2022 RE-ANALYSIS hollow = Schmidt and Hunter 1998 filled = Sackett et al. 2022 Structured interview Job knowledge tests Work sample tests Cognitive ability tests Unstructured interview .42 .51 .40 .48 .33 .54 .31 .51 .19 .38 0 .1 .2 .3 .4 .5 .6 Correlations with rated job performance. Every number fell; structured interviews fell least and now rank first.
🔍 Click to zoom - the gap between structured and unstructured interviews widened from .13 to .23, and that is the part both camps accept
LiveThe 1998 numbers and the 2022 revision3 min▶

Schmidt and Hunter (1998, Psychological Bulletin) summarised 85 years of research on 19 selection procedures. Their table put work sample tests at .54, general mental ability and structured interviews both at .51, job knowledge tests at .48 and unstructured interviews at .38, as correlations with later rated job performance. For two decades those were the numbers in every textbook and hiring guide.

Sackett, Zhang, Berry and Lievens (2022, Journal of Applied Psychology) re-examined how those estimates had been corrected for range restriction, the statistical adjustment for the fact that a study only sees people who were hired. They argued the corrections were often too large, especially in concurrent studies run on current employees, and recommended no range-restriction correction for those. Most validities fell by .10 to .20. Structured interviews came out at .42 and ranked first; job knowledge .40; work samples .33; cognitive ability .31; unstructured interviews .19. They also showed where the old .51 came from: an observed correlation of .28, raised to .37 by one correction and to .51 by the range-restriction step.

LiveThe disagreement, and what both sides accept3 min▶

Oh, Le and Roth (2023, JAP) reanalysed Sackett's own data and argued that it substantially underestimates how severe range restriction is, and that the no-correction recommendation should be reconsidered. Ones and Viswesvaran (2023) disagreed that cognitive ability's validity is much lower than previously reported. Sackett and colleagues' reply (2023) agreed correction is right when the information about the applicant pool exists, and argued that in meta-analysis it usually does not. The abstracts of the first and third were read; the second in full.

This page does not resolve that argument, and neither should you. What a candidate can take from it is the part neither camp disputes: a structured interview predicts performance better than an unstructured one, in both sets of numbers. The size of the cognitive ability estimate is where they fight, and that is a question for the people designing tests, not for you preparing answers.

Do not quote validities in your interview. These numbers explain why loops are built the way they are. Saying "structured interviews have a validity of .42" to an interviewer earns nothing and invites the argument above. Use the finding privately: prepare as though every answer will be rated against a rubric, because increasingly it will be.

Part 3 · covers structure from the candidate's chair

What a structured interviewer is scoring

5 min live

Campion, Palmer and Campion's 1997 review listed fifteen components that make an interview structured, seven about the content of the questions and eight about how answers are evaluated. The list below is as given by Levashina and colleagues' 2014 review, because the 1997 original could not be read at source. Seen from the other side of the table, each component is a fact about how you will be heard.

THE SAME HOUR, HEARD TWO WAYS Unstructured: a conversation Questions change from candidate to candidate One overall impression decides at the end Rapport and fluency carry much of the score Prep that works: being likeable Structured: a measurement The same questions, from a job analysis Each answer rated on an anchored scale Notes taken; your questions held to the end Prep that works: evidence per competency Components from Campion et al. (1997) as listed by Levashina et al. (2014). Most real loops sit between the two.
🔍 Click to zoom - in the right-hand room a charming answer to the wrong question scores low, and a plain answer with evidence scores high
LiveFour components that change how you answer3 min▶

Questions based on a job analysis, the same for each candidate. The questions come from the competencies, so the job description predicts them. Each answer rated, on anchored scales. An answer is scored against descriptions of weak, adequate and strong evidence for that one competency, so wandering into a different competency earns nothing on this question. Notes taken. What you say is written down and compared later; specific actions and results survive into the notes, adjectives do not. Limited prompting and follow-up. The interviewer may not rescue a vague answer with "and what did you do then?", so the structure of the answer has to be yours.

Not every loop is fully structured, and the people interviewing you on any given day vary. Preparing for the structured version costs nothing in an unstructured one: clear evidence for the competency asked about is a good answer in both rooms.

Self-study"They decide in the first four minutes", traced3 min▶

The claim is usually credited to a study of interviewers' decision time. Frieder, Van Iddekinge and Raymark (2016) studied 166 interviewers and 691 applicants at a university career centre. Their abstract reports that more experienced interviewers and more rapport building went with quicker decisions, and that asking every candidate the same questions went with longer decision times. A reported breakdown of the same study puts only about 5 percent of decisions in the first minute and about 30 percent within five minutes, meaning most came later. Those percentages were seen in a secondary summary, not in the paper itself, so treat them as reported.

The "thirty seconds" version usually points at Ambady and Rosenthal (1993), who found that strangers' ratings of 13 college teachers from silent clips under 30 seconds predicted end-of-semester student evaluations. That is a study of teachers on silent video, not of hiring decisions. First impressions matter in interviews; the specific minute counts do not come from where they are said to.

Real world

The fluent answer that scored low. A pattern any interviewer who has used a rubric will recognise: a candidate asked about a time they handled a disagreement gives a warm, articulate story about leading a project, which is a different competency. The conversation felt good. The rubric line for disagreement stayed empty. In an unstructured interview the warmth might have carried the day; in a structured one it did not count. Session 2 builds the habit of answering the competency in the question.

Build-along

Read the job description into a prep plan

★ 22 min · everyone builds

Ren's job description A is constructed but written in the ordinary style of a product analytics data scientist posting. Work through it with Ren, then do the same to your own job description as you go; if you have none yet, use Ren's. By the end you have a one-page plan: eight competencies, the round that reads each, and an honest self-rating.

A LINE OF THE JOB, A COMPETENCY, AN HONEST RATING FROM JOB DESCRIPTION A (CONSTRUCTED) COMPETENCY REN Write SQL against our event tables Design and read A/B tests for launches Choose metrics for new features Explain findings to product managers SQL and wrangling Experiments, stats Metric choice Explaining results strong thin thin strong Four of the eight lines. The coral row is the one Ren's prep plan spends the most hours on.
🔍 Click to zoom - the highlighter finds the verb, the verb names the competency, and the rating tells you where the hours go

Copy the duties and requirements into one list. Paste every bullet, one per line. Ignore the company description and the benefits; they say nothing about the loop.

★ Step 1 · the raw listWrite SQL against our event tables Design and read A/B tests for launches Choose metrics for new features Explain findings to product managers Push back when a request will not answer the question Turn loosely defined questions into analyses Own the quality of the data you report Learn quickly from analyses that did not land

Underline the verb in each line. The verb is what someone will watch you do or ask you to evidence. Adjectives such as "strong", "excellent" and "passionate" are not competencies; skip them.

★ Step 2 · verbswrite SQL · design, read tests · choose metrics · explain push back · turn questions into analyses · own quality · learn

Name six to eight competencies, each something a round can see. Merge duplicates, split anything that hides two skills. Ren ends with eight.

★ Step 3 · competencies1 SQL and data wrangling 5 Disagreeing and pushing back 2 Experiment design and stats 6 Turning a vague ask into a question 3 Metric choice and product sense 7 Learning from a mistake 4 Explaining results 8 Data quality and rigour

Map each competency to the rounds that will read it. Use what the recruiter told you about the loop; if you know nothing yet, assume the common shape in Part 1 and correct it after the screen.

★ Step 4 · roundsSQL round: 1, 8 Stats round: 2 Product case: 3, 6 Behavioural: 4, 5, 6, 7 (and any of the rest) Take-home: 1, 4, 8

Rate yourself on each, honestly: strong, thin or missing. Strong means you have a specific example with an action you took and a result you can state. Thin means you have done it but cannot yet tell it crisply. Missing means you have no example at all.

★ Step 5 · Ren's ratings1 SQL ............ strong 5 Pushing back ..... strong 2 Experiments .... thin 6 Vague asks ....... thin 3 Metric choice .. thin 7 From a mistake ... strong 4 Explaining ..... strong 8 Data quality ..... strong

Turn the ratings into a prep plan with hours. Thin and missing competencies get most of the time. Strong ones get one rehearsal each. Put the plan on one page and date it.

★ Step 6 · the planWeek 1 stories for 2, 3, 6 (session 2); SQL traps drill (session 3) Week 2 bench practice (session 4); stats and product case (session 5) Week 3 take-home rehearsal, questions to ask, review routine (session 6) One rehearsal each for 1, 4, 5, 7, 8

Check the plan against the job, not against your fears. It is tempting to spend the hours on whatever scares you most. Read the plan back against step 4: does every thin competency that a round actually reads get time? Anything you are worried about that no round reads can wait.

Homework

Before session 2

30 min
  1. Do the six steps on your own job description. End with eight competencies, a round for each, and a rating.
  2. Ask about the loop. If you have a recruiter screen coming, prepare one question about what each round focuses on.
  3. Find your thinnest competency and write down, in one line, any situation where you did something like it, at work or outside it.
  4. Bring a list of every story you can think of, titles only. Session 2 turns it into a bank.
Check yourself

Three questions

Clear all three and session 1 gets stamped in your passport.

1 · Ren has two weeks before a loop with a SQL round, a product case and two behavioural conversations. What does Part 1 suggest about where the hours go?

Rounds read competencies, and one competency is often read in several rooms. The behavioural conversations read the widest set, so a story bank pays off across the loop. A treats one round as the loop, B ignores Ren's ratings, and D prepares answers without knowing the competencies.

2 · Which statement about the selection research is accurate?

The 2022 re-analysis lowered most estimates and moved structured interviews to the top. Oh, Le and Roth and Ones and Viswesvaran argue the corrections were cut too far, with cognitive ability at the centre of the dispute. In both sets of numbers structured interviews predict better than unstructured ones.

3 · A friend says "interviewers decide in the first four minutes, so just nail the opening". What does the trail show?

The minute counts do not come from where they are said to. First impressions still matter, which is why C overcorrects, but an opening line does not replace evidence for each competency in a structured interview.

Sources covered

What this session teaches, and where it came from

✓Schmidt and Hunter (1998), Psychological Bulletin 124(2)85 years, 19 procedures; structured .51, unstructured .38, cognitive ability .51, work sample .54, job knowledge .48; read in full
✓Sackett, Zhang, Berry and Lievens (2022), Journal of Applied Psychology 107(11)Structured .42 first, job knowledge .40, work sample .33, cognitive ability .31, unstructured .19, and the range-restriction argument; read in full
◐Oh, Le and Roth (2023); Sackett et al. (2023) reply; Ones and Viswesvaran (2023)The disagreement; the first two read as abstracts only, the third in full
◐Campion, Palmer and Campion (1997), Personnel Psychology 50(3)Fifteen components of structure as listed by Levashina et al. (2014), Personnel Psychology 67(1); the 1997 original was not read
◐Frieder, Van Iddekinge and Raymark (2016); Ambady and Rosenthal (1993)Frieder abstract read, its minute-by-minute breakdown reported; Ambady and Rosenthal read in full
◐Ren and job description AConstructed for teaching; no real employer or process is described

Every fact on this page, and its verification tier, is recorded in the course's source map.

Session 1 cheat sheet · pin this

A loop is measurementsEach round reads a few competencies; the job description names them.
Competencies are visibleSomething a round can watch or ask you to evidence, named from the verbs.
Structured beats unstructured.51 vs .38 in 1998, .42 vs .19 in 2022. The size is argued; the order is not.
Answer the competency askedEach answer is rated against its own rubric line; evidence for a different one earns nothing there.
Minute myths"Four minutes" and "thirty seconds" do not come from hiring studies that say so.
The prep planEight competencies, rounds, strong/thin/missing, hours to the thin ones.