Level of Expertise Dialogue
Definition
Writing can be polished, rehearsed, even generated. An unscripted, in-person dialogue about your own work is much harder to fake — which makes it one of the most honest tests of whether you actually understand what you claim to. This isn’t an interview or a quiz; it’s a two-person conversation, without notes, where a small set of open questions guide but don’t constrain the discussion.
Learning Outcome
After using this technique, you should be able to speak about your own research or project — its substance, its methods, and the people whose work informs it — clearly and specifically, without relying on notes or a prepared script.
Core Structure
Five questions guide the dialogue, meant as prompts rather than a rigid script:
- The one-minute pitch. If you had a minute to describe what your work is and why someone should care about it, what would you say?
- Algorithms. What algorithms were developed and used as part of your work?
- Data structures. Which data structures were developed and used?
- Architecture and design. What is the architecture and design of the software you developed, used, or both?
- Key players. Who are the key people in your area — individuals, teams, or both? Which articles, lectures, or videos mattered most to your own learning, and who would you point someone else to?
The format matters as much as the questions: it’s done in person, as a genuine two-person dialogue, without extensive notes. That’s what makes it a test of understanding rather than a test of recall or preparation — a rehearsed answer to question 1 falls apart the moment a follow-up question pushes past the surface.
Worked Example
A dialogue on a project about caching strategies might open with the one-minute pitch: “I looked at how write-through caching with tiered eviction affects tail latency under different workloads.” A good follow-up push might be “why tiered rather than a single eviction policy?” — and a real answer draws on the architecture question (4) to explain the actual design decision, rather than repeating the pitch in different words. The key-players question (5) might surface that a specific conference paper on adaptive replacement caching shaped the whole approach — the kind of detail that’s easy to lose in a written report but comes up naturally in conversation when someone asks “what got you started on this?”
Common Pitfalls
- Preparing and memorizing an answer to question 1 as if it were a script — a genuine dialogue will move past a rehearsed pitch within the first follow-up question.
- Being able to describe what was built (architecture, question 4) but not why choices were made — the dialogue format is meant to surface reasoning, not just facts.
- Treating question 5 as a formality — being unable to name any actual person or source that shaped your understanding is a sign the work wasn’t grounded in the field’s actual conversation.
- Reaching for notes when a question gets hard — the entire value of the format is testing what you can say without them.
Rubric / Checklist
- Can give a clear, specific one-minute pitch without a memorized script
- Can name and explain the algorithms actually used, not just gesture at them
- Can name and explain the data structures actually used
- Can explain the architecture and design, including why choices were made, not just what was built
- Can name real people, teams, or specific sources that shaped the work — and could point someone else toward the best of them
- Held the conversation without relying on notes