learn-interview-prep-with-phoebe / Session 2 of 6
Learn Interview Prep with Phoebe · Session 2 of 6

A story bank that covers the job

Session 1 ended with a map: eight competencies, the rounds that read them, and an honest rating of each. The behavioural conversations read more of that map than any other round, and they read it through stories. Tonight we look at why interviewers ask what you did rather than what you would do, take STAR apart and check where the acronym actually comes from, and then build the thing that does the work in the room: a bank of stories, each one tagged against every competency it can honestly evidence, trimmed to fit the clock, and told straight.

🟡 Core Anyone heading into a data or AI interview Bring your list of story titles 45 min
0-3 · Welcome 3-18 · Questions, STAR, tagging 18-40 · Build-along: Ren's bank 40-45 · Q&A
Part 0

Where we start

Ren, the constructed analyst from session 1, has a prep plan that says three competencies are thin: experiments, metric choice, and turning a vague ask into a question. Ren also has a head full of half-remembered projects and no way to find the right one when an interviewer says "tell me about a time". Tonight those projects become eight stories with titles, a fixed shape and a length, laid against job description A so that every competency has something behind it. Ren's stories, their lengths and every detail inside them are constructed. The method is the one you use on your own.

🎫 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 list of your own story titles with rough lengths, one story written out in full as situation and task, action, result, a tagging grid that shows which competency each story honestly evidences, the one thin row you need a new story for, your two longest stories trimmed toward two minutes, and the follow-up questions you will be asked about each.

Part 1 · covers past-behaviour and situational questions

Two kinds of question, two kinds of evidence

5 min live

A behavioural round mostly asks two kinds of question. A past-behaviour question asks what you did: "tell me about a time you pushed back on a request". A situational question asks what you would do: "a manager asks for a chart you think is misleading; what do you do?". They read different things, and the research on structured interviews has compared them for decades. Levashina, Hartwell, Morgeson and Campion's 2014 review summarises it, and it is the source for every number in this Part.

WHAT EACH QUESTION ASKS YOU TO PUT ON THE TABLE PAST-BEHAVIOUR QUESTION "Tell me about a time you pushed back." Reads: evidence of what you actually did then (a real event) now validity .31 reliability .76 credited to Janz (1982) SITUATIONAL QUESTION "What would you do if...?" Reads: your reasoning about a future case now imagined validity .25 to .26 reliability .79 credited to Latham et al. (1980) Your move: anchor the answer in something you did Uncorrected validity and reliability as summarised by Levashina et al. (2014). A loop usually asks both.
🔍 Click to zoom - one question asks for a dot in your past, the other for a dot you imagine; the best answer to either puts a real event on the line
LiveWhat a behavioural question is really asking3 min▶

Past-behaviour questions come from Janz (1982), credited by Levashina and colleagues as the origin of the approach, which rests on the premise that past behaviour predicts future behaviour. Situational questions come from Latham and colleagues (1980). Levashina's review puts the two side by side using the studies that compared them: uncorrected validity of .31 for past-behaviour questions against .25 for situational ones in Taylor and Small (2002), and .31 against .26 in Huffcutt and colleagues (2004). Their summary is that situational questions have slightly lower validity than past-behaviour ones, especially for complex jobs. Interrater reliability is close for both: .79 for situational and .76 for past-behaviour questions.

The authors do not recommend picking one. They recommend using both, and many structured loops do. For you the message is plain: "tell me about a time" is asking for an event, with you in it, that an interviewer can write down. It is not asking for your philosophy of stakeholder management. If the story you reach for has no date, no decision and no result, it is a view, not evidence.

One more finding matters if you are early in your career. Levashina reports, from Gibb and Taylor (2003), that applicants with little job experience can draw on non-work examples. A volunteer project, a course group, a club you ran: these are real events where you made decisions, and they count.

LiveThe hypothetical question, and how to answer it2 min▶

A situational question tests your reasoning, and a good answer does reason: what you would check first, who you would talk to, what you would refuse to do and why. The strongest answers then anchor that reasoning in something you did. "I would ask what decision the chart is meant to support before drawing anything. I did exactly that last spring, when..." turns a hypothetical into evidence without dodging the question.

Two things to avoid. Do not answer a "what would you do" question with an unrelated story you happen to like; answer the hypothetical first, briefly, then anchor. And do not invent a past event to anchor in. If you have never faced the situation, say so and reason it through; an honest "I have not been in that exact spot, here is how I would approach it" scores better than a story that collapses at the first follow-up.

Real world

The graduate who thought there was nothing to tell. A familiar pattern: a recent graduate, asked about a time they handled a disagreement, says they have not really worked anywhere yet and offers a general view on teamwork instead. They had, in fact, spent a term coordinating a four-person research project where two members wanted to drop a messy data source and they argued to keep it and clean it. That is a past-behaviour answer with an action and a result. The evidence existed; it was filed under "not work".

Part 2 · covers STAR and where it comes from

Situation, task, action, result, and who says they invented it

5 min live

STAR is the shape almost every coach recommends for a behavioural answer: the situation and the task you had, the action you took, the result that followed. It works because it matches what a structured interviewer is writing down, and because it forces the parts people skip. The acronym also has an origin story worth checking, because it is usually repeated as history when it is really a claim.

ONE STORY CARD, DRAWN TO THE SHAPE OF THE TALKING TIME SITUATION / TASK ACTION · says "I" · the biggest part RESULT · stated Launch test, week 2. PM wants to ship on an early lift. Task: I own the readout. I re-ran the readout: the lift sat inside the noise. I showed the test had been checked every day. I proposed running the full planned duration. I wrote a one-page note the PM could forward. +6% became +0.4% Test ran its planned 4 weeks. Launch held for a redesign. Team now fixes duration before a test starts. short most of the time something you can state Constructed: Ren's S2, "The A/B test that was stopped early". Every detail and number is invented.
🔍 Click to zoom - if your situation box is the widest, the interviewer has heard a lot of context and not much of you
LiveThe four parts, and what each one is for3 min▶

Situation and task set the scene in a sentence or two: where you were, what was at stake, and what was yours to do. The task matters more than people think, because it tells the interviewer which decisions were yours. Action is the biggest part and it says "I": what you checked, what you decided, what you said to whom, and why. This is the part a structured interviewer's rubric is written against. Result is something you can state: a number, a decision that changed, a practice the team adopted, or an honest "it did not work, and here is what I learned".

Ren's story card above is constructed down to the last number, and yours will differ. Notice its proportions. The context takes two short sentences. Four actions, each one a verb Ren did. The result leads with something checkable and then says what changed afterwards.

Self-studyWhere STAR comes from, and what is only a claim3 min▶

The consulting firm DDI's own page says it introduced the STAR method in 1974 with its Targeted Selection interviewing system, and defines the S as "Situation/Task". That is a company describing its own history. No independent history of who coined the acronym was found, so the honest form is "DDI says it introduced STAR in 1974", not "STAR was invented in 1974".

The peer-reviewed story is separate. Behavioural, past-behaviour interviewing is credited in the research literature to Janz (1982), as cited by Levashina and colleagues; the 1982 paper itself was not read. So there are two different claims: a research origin for asking about past behaviour, and a company's claim to the acronym used to answer. The variants you meet on career sites, SAR, PAR and CAR, have no known origin at all. They are folk rearrangements of the same idea, and choosing between them changes nothing that matters.

Self-studyThree ways a STAR story fails3 min▶

The "we" story. "We noticed the test was peeked at, we re-ran it, we held the launch." Every sentence is true and none of it is evidence about you. The interviewer cannot score a team. Say "we" for the context and "I" for the action, and if your part was small, tell the small part precisely.

All situation, no action. Two minutes of background on the product, the reorganisation and the difficult stakeholder, and thirty seconds of what you did. It feels like necessary context to the teller. To the listener it is waiting. The figure's proportions are the fix: context in two sentences.

No result. The story stops at "so I sent the note". The interviewer is left guessing whether it worked. If you do not know the outcome, say what you know and what you would check; if it went badly, say that and what you changed. A stated result, including a bad one, beats a missing one every time.

Real world

The strongest analyst who sounded like a bystander. A familiar pattern from interview debriefs: a candidate who clearly did the hard part of a project tells the whole story in "we", out of modesty and team habit. The notes afterwards read "team did good work; candidate's role unclear", and the rubric line for ownership stays low. A rehearsal with one rule, every action sentence starts with "I", usually fixes it in an evening.

Part 3 · covers tagging, trimming and telling it straight

Tag every story, trim every story, tell every story straight

5 min live

A pile of good stories is not yet a bank. A bank has an index: for every competency on your session 1 map, which story evidences it, and how well. Building that index is tagging, and it is where most of the coverage comes from. Then there is the clock, and then there is honesty, which is where the research on impression management has something useful to say.

TAGGING: EVERY STORY AGAINST EVERY COMPETENCY IT HONESTLY EVIDENCES COMPETENCY S2 S3 S6 A/B test one metric said no Experiments, stats Metric choice Explaining results Vague ask to question Pushing back One story, three rows S3 was written for metric choice; it also evidences two more strong: action, stated result thin: done it, evidence weak Constructed fits from Ren's map. A tag you cannot defend in a follow-up is not a tag; leave the cell empty.
🔍 Click to zoom - tagging costs no new stories: it is asking each story you already have which other questions it can honestly answer
LiveTagging, and the difference between a tag and a stretch3 min▶

Write the competencies down the side and the stories across the top, then mark each cell: strong if the story contains a specific action of yours and a result you can state for that competency, thin if it touches the competency but the evidence is weak, empty if it does not. Ren's fits are constructed; S3, "Choosing the one metric for a launch", was written for metric choice and turns out to be strong for explaining results and thin for turning a vague ask into a question. That is three rows from one story, at no cost.

A stretch is different. Stretching is telling a story for a competency it does not evidence, because you like the story or have nothing else. A structured interviewer scores each question against its own rubric line, so a great story about experiments, told in answer to "tell me about a time you learned from a mistake", earns nothing on the mistake line. Tagging finds the honest extra rows. Stretching invents rows that are not there, and the empty cell is still empty.

LiveTrimming to the clock2 min▶

Behavioural rounds have a clock, and a four-minute story eats the next question. A common coaching rule of thumb says about two minutes per answer. It is a rule of thumb: no study behind a particular answer length was found, and an interviewer who wants more will ask for it. Trim toward the limit by cutting situation first, keep the actions, and keep the result. The build-along trims Ren's two longest stories this way.

Self-studyPresenting well and deceiving: where the line sits4 min▶

Impression management is the research name for shaping how you come across, and Levashina and colleagues' 2014 review is frank about it. Across 13 studies and 2,202 people, self-promotion correlated r = .26 with interview ratings. Citing Ellis and colleagues (2002), they write that almost all applicants use some form of impression management in structured interviews. So presenting your work well is normal, expected and rewarded. In their summary of Barrick and colleagues (2009), the link between verbal impression management and ratings was .27 in low-structure interviews and .17 in high-structure ones: structure dampens it without removing it.

Deceptive impression management is something else: inventing or inflating what you did. Levashina and Campion (2007), as summarised in the review, found that interview structure decreased faking, and that probing follow-up questions increased it. The second finding is a warning, not a licence. Probing gives a faker more room to elaborate; it also gives an interviewer more places to notice that the details do not hold together.

The working line: choosing which true story to tell, putting your actions first, and stating your result plainly is presenting well. Claiming the team's work as yours, rounding a result up, or describing a decision you did not make is deceiving. A practical test is the follow-up. If "what exactly did you do on the second day?" would make you uncomfortable, the story needs editing toward the truth, not more rehearsal.

Real world

Ren and the result that wanted to be bigger. A constructed Ren moment: rehearsing S5, "The forecast I got wrong", Ren notices the story would sound better if the corrected forecast had been "spot on" rather than "closer, still off by a few points". Ren keeps the true version. It is weaker as a boast and much stronger as evidence for the competency it is tagged to, learning from a mistake, and it survives any follow-up an interviewer can ask.

Build-along

Build Ren's bank, then build yours

★ 22 min · everyone builds

Six steps, each one an artefact you keep. Each step is worked first on Ren's constructed bank against job description A, then you do the same with your own titles and your own session 1 map. Ren's lengths, fits and story details are all constructed; your numbers will differ, and they should.

TRIMMING: WHERE THE SECONDS COME FROM 2 min rule of thumb (no study found) S2 as first told S2 trimmed S1 as first told S1 trimmed situation action result action R situation action result action R 260 s 115 s 230 s 115 s 0 60 s 120 s 180 s 240 s Constructed split. Most of the cut comes out of the situation; the action keeps the most time.
🔍 Click to zoom - trimming is not talking faster: the situation shrinks to a sentence and the action becomes the widest bar

List every story title, with a rough length. One line each, a title you would recognise in the room, and how long it takes to tell now. Time yourself telling it once, out loud, without editing. Ren has eight.

★ Step 1 · Ren's titles (constructed)S1 The dashboard nobody trusted ............. 230 s S2 The A/B test that was stopped early ...... 260 s S3 Choosing the one metric for a launch ..... 200 s S4 The report query rewritten in three days . 150 s S5 The forecast I got wrong ................. 180 s S6 Saying no to a misleading chart .......... 140 s S7 The churn question nobody had defined .... 210 s S8 Teaching the team window functions ....... 110 s

Write one story out in full as a STAR card. Pick the story you are most likely to need. Situation and task in two sentences, actions as "I" sentences, a result you can state. Ren writes S2; every detail below is constructed.

★ Step 2 · S2 as a STAR card (constructed)SITUATION/TASK A launch test, week 2 of a planned 4. The PM wants to ship on an early lift. I own the readout. ACTION I re-ran the readout: the lift sat inside the noise. I showed the dashboard had been checked every day, so the early number was the best of many looks. I proposed running the full planned duration. I wrote a one-page note the PM could forward upward. RESULT The test ran its 4 weeks; +6% early became +0.4% final. The launch was held for a redesign, and the team now fixes a test's duration before it starts.

Tag all eight against your eight competencies. Copy your session 1 competency list down the side and mark each story strong or thin wherever it honestly fits. Only Ren's constructed fits from the map are used here; the competencies the stories touch outside job description A are left off.

★ Step 3 · tags against job description A (constructed fits)SQL and data wrangling ........ S1 strong, S4 strong, S8 thin Experiment design and stats ... S2 strong, S5 thin Metric choice ................. S3 strong, S7 strong, S2 thin Explaining results ............ S3 strong, S6 strong, S1 thin, S7 thin Disagreeing and pushing back .. S2 strong, S6 strong Vague ask to a question ....... S3 thin, S7 thin Learning from a mistake ....... S5 strong Data quality and rigour ....... S1 strong

Find the thin row and decide: new story or nothing. Look for any row whose best mark is thin, or empty. Ren's thin row is turning a vague ask into a question: two stories touch it and neither carries it. The tempting move is to upgrade S7's tag to strong. The honest move is a new story where that competency is the headline.

★ Step 4 · the thin rowThin row: Turning a vague ask into a question Best now: S3 thin, S7 thin Not this: relabel S7 as strong (a stretch; fails the follow-up) Do this: write a new story with this as the headline, e.g. a request that arrived as "can you look into signups?" and what I asked before writing any SQL (constructed example) Check: does it have an "I" action and a result I can state?

Time and trim the two longest. Tell each one out loud with a timer, then cut situation first, keep every action that is yours, and keep the result. Ren's longest are S2 and S1; both are trimmed toward 115 seconds, under the two-minute rule of thumb.

★ Step 5 · trim (constructed)S2 260 s -> 115 s cut: the history of the product and why the test existed cut: who else was in the meeting keep: the four "I" actions, the +6% -> +0.4% result S1 230 s -> 115 s cut: three minutes of how the dashboard was originally built keep: what I checked, what I found, what changed after

Prepare two follow-ups per story. Structured interviewers may be limited in how much they probe, but many will ask something. Two follow-ups come up again and again; write a one-line answer to each for every story in the bank.

★ Step 6 · follow-ups for S2 (constructed)What would you do differently? Agree the test duration and the decision rule with the PM before launch, so there is nothing to argue about in week 2. What was the result, in numbers? The early +6% settled at +0.4% over the planned 4 weeks; the launch was held. (Constructed; state your own real numbers.)

Session 4 scores this bank. The practice-round bench crosses Ren's bank with job description A and computes the honest coverage. With all eight stories tagged it reaches 93.8 percent, 7 competencies covered and 1 thin, the thin one being exactly the row you found in step 4. Trimming changes nothing about coverage and everything about the clock: the number of answers that fit two minutes goes from 0 of 8 to 8 of 8. Bring your own grid; the same rule applies to it.

Homework

Before session 3

40 min
  1. Finish your titles list. Aim for eight stories with a timed length each, including at least one non-work example if your work history is short.
  2. Write two more STAR cards in full, choosing the stories that carry your thinnest competencies from session 1.
  3. Complete your tagging grid and circle every row whose best mark is thin or empty. For each one, write a one-line idea for a new story, or note honestly that you have none yet.
  4. Trim your two longest stories under two minutes, out loud with a timer, and write the two follow-up answers for each.
Check yourself

Three questions

Clear all three and session 2 gets stamped in your passport.

1 · Why do structured interviews ask "tell me about a time you..." questions, according to the review in Part 1?

Levashina et al. (2014) summarise past-behaviour questions at .31 and situational at .25 and .26, and recommend both. A overstates the gap; C is wrong because reliability is close (.76 against .79, slightly higher for situational); D is contradicted by Gibb and Taylor (2003), who found applicants with little experience can use non-work examples.

2 · A colleague says "STAR was scientifically developed in 1974". What does the trail actually show?

There are two claims, and they should not be merged. The acronym's origin is a company self-claim. The peer-reviewed origin of asking about past behaviour is Janz (1982), as cited by Levashina et al. SAR, PAR and CAR have no known origin, so C has nothing behind it.

3 · Ren's best story, the A/B test stopped early, is strong for experiments and pushing back. Ren is tempted to use it for every question. What is the honest move?

Each question is scored against its own rubric line, so a story only earns credit on rows it actually evidences. B and D claim coverage that is not there. C overcorrects: a strong story told for two rows it genuinely fits is fine.

Sources covered

What this session teaches, and where it came from

✓Levashina, Hartwell, Morgeson and Campion (2014), Personnel Psychology 67(1)Past-behaviour against situational questions: uncorrected validity .31 against .25 (Taylor and Small 2002) and .31 against .26 (Huffcutt et al. 2004), reliability .76 against .79, use both, non-work examples (Gibb and Taylor 2003); read in full
◐Janz (1982), via Levashina et al. (2014)Credited as the origin of past-behaviour questions; the 1982 paper itself was not read
◐DDI, STAR method page (company claim)DDI says it introduced STAR in 1974 with Targeted Selection; no independent history found; SAR, PAR and CAR have no known origin
✓Impression management findings, Levashina et al. (2014)Self-promotion r = .26 with ratings (k = 13, N = 2,202); almost all applicants use some (Ellis et al. 2002); structure decreased and probing increased faking (Levashina and Campion 2007); Barrick et al. (2009) .27 to .17
◐The two-minute answerA coaching rule of thumb; no study behind a particular answer length was found
◐Ren, stories S1 to S8 and job description AConstructed for teaching: titles, lengths, fits and every story detail; 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 2 cheat sheet · pin this

Past behaviour is evidence"Tell me about a time" wants a real event with you in it. Non-work examples count.
Anchor the hypotheticalReason through "what would you do", then tie it to something you did, never something invented.
STAR proportionsContext in two sentences, actions as "I" sentences and the biggest part, a result you can state.
STAR's origin is a claimDDI says it introduced STAR in 1974. Past-behaviour interviewing traces to Janz (1982).
Tag, never stretchMark every honest fit, strong or thin. A thin row needs a new story, not a bolder label.
Trim and tell it straightAbout two minutes (rule of thumb); cut situation first. Present well, never inflate.