Mining Your Experience

P60.story-bank.01 · Audience: guest, it-ml, language-pro

Real LLM grading for this pageLLM grading (this page):

"Tell me about a time you handled a conflict." The candidate had handled dozens — a supplier dispute, a colleague who missed every deadline, a manager who changed the brief mid-project — and in the moment could retrieve none of them. Thirty seconds of silence, then a vague answer about "communication being important". What failed was not experience and not nerve; it was inventory. The stories existed, but nobody had ever gone looking for them before the moment they were needed. This module is that expedition: a systematic sweep of your own history, done calmly at a desk, so that when a question comes you are choosing from a shortlist instead of dredging under pressure.

Step 1 / 5 — Why memory fails on demand

Human memory is not a filing cabinet; it is an association engine. Ask yourself "what happened in March 2023?" and you get fog. Walk past the building where you used to work and three incidents surface unbidden. Interview questions arrive as abstractions — conflict, failure, initiative — and abstractions are terrible retrieval cues. The fix is not a better memory but a better moment: do the retrieval now, with good cues and no clock, and write down what surfaces. Under pressure you then only have to choose, never to search.

ⓘ Concept: Separate retrieval from performance
intheroom:choose+tell⋅atyourdesk,inadvance:search+cataloguein the room: choose + tell · at your desk, in advance: search + catalogue

Why it matters — An interview asks you to do two hard things at once: search your entire history for a matching incident, and tell it well — live, watched, timed. Either task alone is manageable; stacked, they sink most people, which is why experienced professionals blank on questions about experiences they demonstrably had. An inventory built in advance removes the search from the room entirely. This is the same move an interpreter makes by preparing a glossary before a technical conference, or a teacher makes by preparing examples before a lesson: the thinking is done when thinking is cheap, so the live moment is pure delivery. Nothing about it is scripting or memorising answers — you are cataloguing raw material, not rehearsing lines.

An inventory is raw ore, not jewellery — the entries are one-liners, not yet stories anyone would lean in for. Shaping them is the next module's work. Step back any time to the P60 pillar overview to see how the story-bank and answer-architecture tracks fit together.

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🎓 Practice ladder

2 graded rungs · ~20 min

Now mine your own history. Both rungs are mentor-graded craft exercises about your real experiences — and every prompt accepts a low-stakes story if you prefer. Rung 1 builds a six-entry inventory with a competency tag on each entry; rung 2 takes three entries and shows each answering two different classic behavioural questions.

Rung 1 — The six-entry inventory (explorer)

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Rung 2 — One story, two questions (practitioner)

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Try it yourself

A scratch console for this page's ideas — ungraded, nothing you run here is recorded.

Scratch console

A scratch console with the scientific stack (pandas, numpy, scikit-learn). Runs on the server — no network, resource-limited and measured.

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Mining Your Experience — TransformerLab