TACIT KNOWLEDGE

TACIT KNOWLEDGE

METHDO DESIGN

METHDO DESIGN

CASE STUDY

CASE STUDY

A method for surfacing what users know but can’t say — so what gets designed is built around their real, unspoken needs.

A method for surfacing what users know but can’t say — so what gets designed is built around their real, unspoken needs.

Sole designer-researcher · Research-through-Design · TCS Research × IIT Hyderabad · Mar–Sep 2025

Sole designer-researcher · Research-through-Design · TCS Research × IIT Hyderabad · Mar–Sep 2025

AT A GLANCE

Tacit knowledge - the sensory judgments, timing instincts and rules of thumb experts rely on but can’t put into words - is a blind spot for conventional user research, which depends on people explaining what they know. M3 Allegory-Driven Elicitation is the method I designed to reach it, in three layers: a spoken baseline, silent observation of the same task, then an allegory that lets people describe what they can’t state directly. A five-person pilot surfaced behavior every participant had left out of their own account, seven tacit patterns that recurred independently across strangers, and knowledge categories observation alone can’t reach. The method was accepted at ICoRD 2027 (Springer).

5/5

participants showed behaviour absent from their own verbal account

07

convergent tacit patterns across independent interviews

ICoRD 2027

accepted · peer-reviewed (Springer)

DISCOVER

SCENARIO

Imagine facing a fast bowler. The ball is on you in half a second - too fast to think - and yet you are already leaning into the shot.

Imagine facing a fast bowler. The ball is on you in half a second - too fast to think - and yet you are already leaning into the shot.

Imagine facing a fast bowler. The ball is on you in half a second - too fast to think - and yet you are already leaning into the shot.

By the time you could consciously decide, the ball would be past you. So you don’t decide - you read it: the bowler’s wrist, the seam, a flicker of the shoulder, and your feet and hands are already moving to meet a ball you haven’t fully seen. Ask a batsman how they did it and they’ll shrug: “I just watched the ball.” The skill is real, trained over years, and it runs entirely below words. Ask anyone how they do the thing they do best and you hit the same wall: “I just know.”

The most valuable expertise is the part people can’t articulate — and every standard method depends on them articulating it. The knowledge that matters most is exactly the knowledge our methods are built to miss.

The most valuable expertise is the part people can’t articulate — and every standard method depends on them articulating it. The knowledge that matters most is exactly the knowledge our methods are built to miss.

The most valuable expertise is the part people can’t articulate — and every standard method depends on them articulating it. The knowledge that matters most is exactly the knowledge our methods are built to miss.

MY ROLE

Sole designer-researcher

Sole designer-researcher

I owned every stage end to end — no team to hand off to. Design decisions, fieldwork and analysis were all mine.

I owned every stage end to end — no team to hand off to. Design decisions, fieldwork and analysis were all mine.

Method design

Study design

Fieldwork

AI-assisted analysis

First-author write-up

CONTEXT

Design research at TCS Research (TRDDC), extended into the M.Des thesis at IIT Hyderabad.

TIMEFRAME

Mar–Sep 2025, continued into the thesis.

DISCIPLINE

Design Research (Research-through-Design).

DISCOVER

RESEARCH QUESTIONS

The study set out to answer two research questions — one about the limits of conventional methods, one about whether an allegory could reach past them.

RQ1 Do conventional user-research methods actually elicit tacit knowledge — and what are their limits?

Interviews, contextual inquiry and probes all depend on people putting knowledge into words; verbal reports only reach what is in focal awareness.

RQ2 Can an allegory-based method elicit tacit cues while preserving the explicit, spoken data?

It must reach the unspoken layer without discarding the declarative baseline that gives the gap its meaning.

RQ1 frames the problem M3 addresses · RQ2 is what M3 Allegory-Driven Elicitation was built to test

TIMELINE

Eighteen months: from a research blind spot at TCS to an accepted ICoRD 2027 paper.

Mar 2025 – Aug 2026 · TCS Research → M.Des thesis

Mar 2025 – Aug 2026 · TCS Research → M.Des thesis

Problem & interviews

Mar–May 2025

• Polanyi · SECI

• 7 designer interviews

• 4 core gaps

Ideation & jury

May–Aug 2025

• Workshop 1 · 13 concepts

• Final jury

• 3-day sprint

Method: M1 → M3

Sep–Dec 2025

• M1 trial · 3 people

• M2 redesign

• M3 + Phase 1.5

5-cook pilot

Apr 2026

• P1–P5 sessions

• Field-medic allegory

Analysis & write-up

Apr–Jun 2026

• AI clustering

• Affinity → 7 patterns

• Full paper draft

ICoRD 2027 accepted

Aug 2026

• Springer LNCS

• First author

Problem & interviews

Ideation & jury

Method: M1 → M3

5-cook pilot

Analysis & write-up

ICoRD 2027 accepted

Mar–May 2025

May–Aug 2025

Sep–Dec 2025

Apr 2026

Apr–Jun 2026

Aug 2026

• Polanyi · SECI

• 7 designer interviews

• 4 core gaps

• Workshop 1 · 13 concepts

• Final jury

• 3-day sprint

• M1 trial · 3 people

• M2 redesign

• M3 + Phase 1.5

• P1–P5 sessions

• Field-medic allegory

• AI clustering

• Affinity → 7 patterns

• Full paper draft

• Springer LNCS

• First author

Mar–May 2025

May–Aug 2025

Sep–Dec 2025

Apr 2026

Apr–Jun 2026

Aug 2026

Polanyi · SECI

7 designer interviews

4 core gaps

Workshop 1 · 13 concepts

Final jury

3-day sprint

M1 trial · 3 people

M2 redesign

M3 + Phase 1.5

P1–P5 sessions

Field-medic allegory

AI clustering

Affinity → 7 patterns

Full paper draft

Springer LNCS

First author

Problem & interviews

Ideation & jury

Method: M1 → M3

5-cook pilot

Analysis & write-up

ICoRD 2027 accepted

DISCOVER

01

Where conventional research breaks down

Conventional user research collects what people can say, and systematically misses what they know but can’t put into words. It isn’t a matter of asking sharper questions: verbal reports only reach what’s in focal awareness (Ericsson & Simon), and reflection after the fact rebuilds experience from memory. Hierarchy and time pressure narrow candour further, and reading tacit signals usually falls back on researcher intuition rather than a consistent framework. The expertise that matters most is exactly the part these methods are built to miss.

Conventional methods reach focal awareness only — the tacit layer sits beneath what people can report.

THE DECISION

I treated this as a signal about the method, not the participants. The easy reads were “ask better questions” or “recruit better talkers” — but my data and the literature agreed the ceiling is structural. More interviews would only buy more surface. That reframing is what turned a research finding into a method-design brief.

DISCOVER

01

Where conventional research breaks down

Conventional methods reach focal awareness only — the tacit layer sits beneath what people can report.

Conventional user research collects what people can say, and systematically misses what they know but can’t put into words. It isn’t a matter of asking sharper questions: verbal reports only reach what’s in focal awareness (Ericsson & Simon), and reflection after the fact rebuilds experience from memory. Hierarchy and time pressure narrow candour further, and reading tacit signals usually falls back on researcher intuition rather than a consistent framework. The expertise that matters most is exactly the part these methods are built to miss.

THE DECISION

I treated this as a signal about the method, not the participants. The easy reads were “ask better questions” or “recruit better talkers” — but my data and the literature agreed the ceiling is structural. More interviews would only buy more surface. That reframing is what turned a research finding into a method-design brief.

DISCOVER

01

Where conventional research breaks down

Conventional methods reach focal awareness only — the tacit layer sits beneath what people can report.

Conventional user research collects what people can say, and systematically misses what they know but can’t put into words. It isn’t a matter of asking sharper questions: verbal reports only reach what’s in focal awareness (Ericsson & Simon), and reflection after the fact rebuilds experience from memory. Hierarchy and time pressure narrow candour further, and reading tacit signals usually falls back on researcher intuition rather than a consistent framework. The expertise that matters most is exactly the part these methods are built to miss.

THE DECISION

I treated this as a signal about the method, not the participants. The easy reads were “ask better questions” or “recruit better talkers” — but my data and the literature agreed the ceiling is structural. More interviews would only buy more surface. That reframing is what turned a research finding into a method-design brief.

DISCOVER

THE METHOD

M3 reads three layers of knowledge against each other

Asking harder doesn’t reach what people can’t say. M3 sets three layers side by side, each reaching a layer of knowledge the last can’t, and each built so it can be read against the one before it.

PHASE 1

DECLARATIVE

Spoken baseline

The fullest verbal account a person can give drawn out with neutral comic prompts before any cooking begins.

what they can say

PHASE 1.5

PROCEDURAL

Silent observation

Watch the real task in their own kitchen. Present-tense questions only “what now?”, never “why did you?”

what they do but can’t say

PHASE 2

RELATIONAL

Allegory

Retell the craft as a field medic under pressure - reaching where the skill was learned and what it means.

how they relate to it

The gap between what a cook says and what I watch them do is not noise — it’s the finding.

DISCOVER

01

Where conventional research breaks down

Conventional user research collects what people can say, and systematically misses what they know but can’t put into words. It isn’t a matter of asking sharper questions: verbal reports only reach what’s in focal awareness (Ericsson & Simon), and reflection after the fact rebuilds experience from memory. Hierarchy and time pressure narrow candour further, and reading tacit signals usually falls back on researcher intuition rather than a consistent framework. The expertise that matters most is exactly the part these methods are built to miss.

Conventional methods reach focal awareness only — the tacit layer sits beneath what people can report.

THE DECISION

I treated this as a signal about the method, not the participants. The easy reads were “ask better questions” or “recruit better talkers” — but my data and the literature agreed the ceiling is structural. More interviews would only buy more surface. That reframing is what turned a research finding into a method-design brief.

DISCOVER

02

Why I moved the study into a kitchen

The method needed a phase where I watched people work. An earlier pilot with IT professionals ran into workplace confidentiality — the real task couldn’t be recorded. So I moved the pilot to home cooking: a domain thick with tacit knowledge passed down socially, where the signature-dish task could actually be performed and filmed in someone’s own kitchen.

THE DECISION

Changing domains was a deliberate trade, not a retreat. Cooking cost me direct enterprise relevance but bought the one thing the method needed to be tested at all — an unrestricted view of the real task. I found and interviewed the five cooks myself, recruiting for variation over volume — different dishes, sources and motivations — so any pattern that still recurred couldn’t be an artefact of one background.

Five cooks chosen for maximum variation — so convergence would mean something structural, not shared history.

DISCOVER

03

Phase 1 — the best spoken account first

Each session opened with comic-based prompts showing everyday cooking tensions — estimating quantities without measuring, tasting and adjusting mid-prep, recovering from a mistake — and I recorded how the person said they handle each. This is the declarative baseline: the fullest verbal account they can give under good conditions.

THE DECISION

The baseline isn’t the data — it’s the control. A behaviour later counts as a tacit cue only if it never appeared here. Capturing the strongest possible verbal account first is what makes the later gap meaningful. I used comics rather than direct questions because a neutral scenario draws out how they’d actually act instead of a rehearsed self-description.

Comic prompts instead of direct questions — a neutral scene pulls a truer account than “how do you cook this?”

DISCOVER

04

Phase 1.5 — watch, don’t ask

Then the person cooked their signature dish in their own kitchen while I filmed and stayed out of the way. The only questions allowed were present-tense — “what are you checking right now?”, never “why did you do that?” Against the Phase 1 baseline the gaps were immediate: the cook who’d called his process “random” was running a precise sensory system — oil sizzle, the clarity of the dal, spoon resistance for texture.

THE DECISION

Present-tense questioning is the whole discipline of this phase. “Why did you” invites a story invented after the fact; “what now” catches the judgment as it happens. I kept observation and questioning separate — unlike contextual inquiry — so I could see exactly where the spoken account stops and the doing continues.

Present-tense questions only. “Why did you” rewrites the past; “what now” catches the live judgment.

DISCOVER

05

Phase 2 — the allegory

Observation shows what people do, not what it means or where it came from. So the final phase handed each cook a single allegory — a field medic working under pressure — with a codebook mapping cooking to the medic’s world. They retold their practice as the medic, translated it back to plain language, then linked it to something I’d just watched them do. Through the medic’s inherited kit, every participant named the person they’d learned from and how: “I just watched her hands for years.”

THE DECISION

I assigned one fixed allegory rather than letting people choose — an earlier version proved free choice just adds cognitive load. Field medicine was picked for structural parallel (fast assessment, judgment under pressure, improvised recovery) but no literal overlap with cooking, so it displaces people from their rehearsed story without contaminating it.

A field medic, not a chef — enough structural echo to transfer, enough distance to break the rehearsed answer.

DISCOVER

06

Analysis — AI drafts, the researcher decides

AI clusters the first pass; the researcher verifies every code. The automation is declared preliminary, not load-bearing.

Every phase was transcribed and pooled with the written allegory narratives. A custom AI agent generated a first pass of thematic clusters across the corpus; I then checked each cluster back against the source, rewrote the code definitions and ran affinity analysis by hand. Nothing entered the final analysis without my direct verification.

THE DECISION

The AI is a speed layer on the first pass, never the judge. Letting it cluster raw transcripts saved the slow mechanical sort; gating every code behind researcher review kept interpretation with a person. I state plainly in the paper that this pipeline is preliminary clustering only and isn’t independently validated.

DISCOVER

07

What the three layers surfaced together

Seven patterns; five reached full convergence across strangers — evidence the structure lives in the practice, not the individual.

Across five independently run interviews, seven tacit patterns recurred — lowering heat as the first recovery move, smell as the readiness gate, sensory timing replacing the clock — five of them in all five cooks, none of whom had any contact with each other. The allegory added a layer neither talking nor watching reached: how the skill was transmitted, the emotional weight it carried, the philosophy under it. One cook: “waiting is not empty time — waiting is the method.” Another reframed his own approach as “calculated jugaad, not random jugaad.” Every participant was surprised by a skill they’d never counted as skill.

THE DECISION

Convergence across strangers is the real evidence — if independent cooks with different teachers land on the same procedural structure, the pattern belongs to the practice, not the person. I reported the weaker results too (one pattern held in only three of five) rather than trim to a clean story.

DEFINE

02

Why I moved the study into a kitchen

The method needed a phase where I watched people work. An earlier pilot with IT professionals ran into workplace confidentiality — the real task couldn’t be recorded. So I moved the pilot to home cooking: a domain thick with tacit knowledge passed down socially, where the signature-dish task could actually be performed and filmed in someone’s own kitchen.

Five cooks chosen for maximum variation — so convergence would mean something structural, not shared history.

THE DECISION

Changing domains was a deliberate trade, not a retreat. Cooking cost me direct enterprise relevance but bought the one thing the method needed to be tested at all — an unrestricted view of the real task. I found and interviewed the five cooks myself, recruiting for variation over volume — different dishes, sources and motivations — so any pattern that still recurred couldn’t be an artefact of one background.

DEFINE

03

Phase 1 — the best spoken account first

Each session opened with comic-based prompts showing everyday cooking tensions — estimating quantities without measuring, tasting and adjusting mid-prep, recovering from a mistake — and I recorded how the person said they handle each. This is the declarative baseline: the fullest verbal account they can give under good conditions.

Comic prompts instead of direct questions — a neutral scene pulls a truer account than “how do you cook this?”

THE DECISION

The baseline isn’t the data — it’s the control. A behaviour later counts as a tacit cue only if it never appeared here. Capturing the strongest possible verbal account first is what makes the later gap meaningful. I used comics rather than direct questions because a neutral scenario draws out how they’d actually act instead of a rehearsed self-description.

DEVLOP

04

Phase 1.5 — watch, don’t ask

Then the person cooked their signature dish in their own kitchen while I filmed and stayed out of the way. The only questions allowed were present-tense — “what are you checking right now?”, never “why did you do that?” Against the Phase 1 baseline the gaps were immediate: the cook who’d called his process “random” was running a precise sensory system — oil sizzle, the clarity of the dal, spoon resistance for texture.

Present-tense questions only. “Why did you” rewrites the past; “what now” catches the live judgment.

THE DECISION

Present-tense questioning is the whole discipline of this phase. “Why did you” invites a story invented after the fact; “what now” catches the judgment as it happens. I kept observation and questioning separate — unlike contextual inquiry — so I could see exactly where the spoken account stops and the doing continues.

DEVLOP

05

Phase 2 — the allegory

Observation shows what people do, not what it means or where it came from. So the final phase handed each cook a single allegory — a field medic working under pressure — with a codebook mapping cooking to the medic’s world. They retold their practice as the medic, translated it back to plain language, then linked it to something I’d just watched them do. Through the medic’s inherited kit, every participant named the person they’d learned from and how: “I just watched her hands for years.”

A field medic, not a chef — enough structural echo to transfer, enough distance to break the rehearsed answer.

THE DECISION

I assigned one fixed allegory rather than letting people choose — an earlier version proved free choice just adds cognitive load. Field medicine was picked for structural parallel (fast assessment, judgment under pressure, improvised recovery) but no literal overlap with cooking, so it displaces people from their rehearsed story without contaminating it.

DEVLOP

06

Analysis — AI drafts, the researcher decides

Every phase was transcribed and pooled with the written allegory narratives. A custom AI agent generated a first pass of thematic clusters across the corpus; I then checked each cluster back against the source, rewrote the code definitions and ran affinity analysis by hand. Nothing entered the final analysis without my direct verification.

AI clusters the first pass; the researcher verifies every code. The automation is declared preliminary, not load-bearing.

THE DECISION

The AI is a speed layer on the first pass, never the judge. Letting it cluster raw transcripts saved the slow mechanical sort; gating every code behind researcher review kept interpretation with a person. I state plainly in the paper that this pipeline is preliminary clustering only and isn’t independently validated.

DELIVER

07

What the three layers surfaced together

Across five independently run interviews, seven tacit patterns recurred — lowering heat as the first recovery move, smell as the readiness gate, sensory timing replacing the clock — five of them in all five cooks, none of whom had any contact with each other. The allegory added a layer neither talking nor watching reached: how the skill was transmitted, the emotional weight it carried, the philosophy under it. One cook: “waiting is not empty time — waiting is the method.” Another reframed his own approach as “calculated jugaad, not random jugaad.” Every participant was surprised by a skill they’d never counted as skill.

Seven patterns; five reached full convergence across strangers — evidence the structure lives in the practice, not the individual.

THE DECISION

Convergence across strangers is the real evidence — if independent cooks with different teachers land on the same procedural structure, the pattern belongs to the practice, not the person. I reported the weaker results too (one pattern held in only three of five) rather than trim to a clean story.

DEFINE

02

Why I moved the study into a kitchen

The method needed a phase where I watched people work. An earlier pilot with IT professionals ran into workplace confidentiality — the real task couldn’t be recorded. So I moved the pilot to home cooking: a domain thick with tacit knowledge passed down socially, where the signature-dish task could actually be performed and filmed in someone’s own kitchen.

Five cooks chosen for maximum variation — so convergence would mean something structural, not shared history.

THE DECISION

Changing domains was a deliberate trade, not a retreat. Cooking cost me direct enterprise relevance but bought the one thing the method needed to be tested at all — an unrestricted view of the real task. I found and interviewed the five cooks myself, recruiting for variation over volume — different dishes, sources and motivations — so any pattern that still recurred couldn’t be an artefact of one background.

DEFINE

03

Phase 1 — the best spoken account first

Each session opened with comic-based prompts showing everyday cooking tensions — estimating quantities without measuring, tasting and adjusting mid-prep, recovering from a mistake — and I recorded how the person said they handle each. This is the declarative baseline: the fullest verbal account they can give under good conditions.

Comic prompts instead of direct questions — a neutral scene pulls a truer account than “how do you cook this?”

THE DECISION

The baseline isn’t the data — it’s the control. A behaviour later counts as a tacit cue only if it never appeared here. Capturing the strongest possible verbal account first is what makes the later gap meaningful. I used comics rather than direct questions because a neutral scenario draws out how they’d actually act instead of a rehearsed self-description.

DEVLOP

04

Phase 1.5 — watch, don’t ask

Then the person cooked their signature dish in their own kitchen while I filmed and stayed out of the way. The only questions allowed were present-tense — “what are you checking right now?”, never “why did you do that?” Against the Phase 1 baseline the gaps were immediate: the cook who’d called his process “random” was running a precise sensory system — oil sizzle, the clarity of the dal, spoon resistance for texture.

Present-tense questions only. “Why did you” rewrites the past; “what now” catches the live judgment.

THE DECISION

Present-tense questioning is the whole discipline of this phase. “Why did you” invites a story invented after the fact; “what now” catches the judgment as it happens. I kept observation and questioning separate — unlike contextual inquiry — so I could see exactly where the spoken account stops and the doing continues.

DEVLOP

05

Phase 2 — the allegory

Observation shows what people do, not what it means or where it came from. So the final phase handed each cook a single allegory — a field medic working under pressure — with a codebook mapping cooking to the medic’s world. They retold their practice as the medic, translated it back to plain language, then linked it to something I’d just watched them do. Through the medic’s inherited kit, every participant named the person they’d learned from and how: “I just watched her hands for years.”

A field medic, not a chef — enough structural echo to transfer, enough distance to break the rehearsed answer.

THE DECISION

I assigned one fixed allegory rather than letting people choose — an earlier version proved free choice just adds cognitive load. Field medicine was picked for structural parallel (fast assessment, judgment under pressure, improvised recovery) but no literal overlap with cooking, so it displaces people from their rehearsed story without contaminating it.

DEVLOP

06

Analysis — AI drafts, the researcher decides

Every phase was transcribed and pooled with the written allegory narratives. A custom AI agent generated a first pass of thematic clusters across the corpus; I then checked each cluster back against the source, rewrote the code definitions and ran affinity analysis by hand. Nothing entered the final analysis without my direct verification.

AI clusters the first pass; the researcher verifies every code. The automation is declared preliminary, not load-bearing.

THE DECISION

The AI is a speed layer on the first pass, never the judge. Letting it cluster raw transcripts saved the slow mechanical sort; gating every code behind researcher review kept interpretation with a person. I state plainly in the paper that this pipeline is preliminary clustering only and isn’t independently validated.

DELIVER

07

What the three layers surfaced together

Across five independently run interviews, seven tacit patterns recurred — lowering heat as the first recovery move, smell as the readiness gate, sensory timing replacing the clock — five of them in all five cooks, none of whom had any contact with each other. The allegory added a layer neither talking nor watching reached: how the skill was transmitted, the emotional weight it carried, the philosophy under it. One cook: “waiting is not empty time — waiting is the method.” Another reframed his own approach as “calculated jugaad, not random jugaad.” Every participant was surprised by a skill they’d never counted as skill.

Seven patterns; five reached full convergence across strangers — evidence the structure lives in the practice, not the individual.

THE DECISION

Convergence across strangers is the real evidence — if independent cooks with different teachers land on the same procedural structure, the pattern belongs to the practice, not the person. I reported the weaker results too (one pattern held in only three of five) rather than trim to a clean story.

THE ORIGIN STORYBOARD · PRESENTED AT THE JURY, 30 MAY 2025

THE ORIGIN STORYBOARD · PRESENTED AT THE JURY, 30 MAY 2025

Knowledge as an ocean you can’t grasp by force — the framing story for why tacit knowledge escapes conventional research, and what a method that respects it would do.

Knowledge as an ocean you can’t grasp by force — the framing story for why tacit knowledge escapes conventional research, and what a method that respects it would do.

THE COMICS

The artifacts behind the method

The artifacts behind the method

Two comics did real work here — one as the elicitation instrument inside the method, one as the story that pitched it.

Two comics did real work here — one as the elicitation instrument inside the method, one as the story that pitched it.

THE FIELD-MEDIC ALLEGORY · PHASE 2 INSTRUMENT

THE FIELD-MEDIC ALLEGORY · PHASE 2 INSTRUMENT

Each cook retold their craft as a field medic under pressure — same judgment, a domain with no literal overlap so the rehearsed answer breaks. Three cooking scenes, then the five medic scenes they map onto.

Each cook retold their craft as a field medic under pressure — same judgment, a domain with no literal overlap so the rehearsed answer breaks. Three cooking scenes, then the five medic scenes they map onto.

P1 · The Eyeball

P1 · The Taste Test

P1 · The Save

P2 · The Assessment

P2 · The Pulse

P2 · The Wrong Bottle

P2 · The Three Cots

P2 · The Old Kit

THE CONTRIBUTION

What transfers beyond the kitchen

What transfers beyond the kitchen

The transferable claim isn’t “use allegories.” It’s that tacit knowledge behaves as at least three interdependent layers - declarative, procedural, relational - and each needs a different instrument, arranged so each one can be read against the last. Remove any phase and the others lose what made them interpretable: the baseline gives the observation meaning, the observation gives the allegory something to anchor to. No prior method combined behavioural observation with structured allegorical displacement - that combination is the contribution. For anyone researching expertise that won’t verbalize - clinicians, senior engineers, craftspeople - the layered structure transfers even where the cooking domain doesn’t.

The transferable claim isn’t “use allegories.” It’s that tacit knowledge behaves as at least three interdependent layers - declarative, procedural, relational - and each needs a different instrument, arranged so each one can be read against the last. Remove any phase and the others lose what made them interpretable: the baseline gives the observation meaning, the observation gives the allegory something to anchor to. No prior method combined behavioural observation with structured allegorical displacement - that combination is the contribution. For anyone researching expertise that won’t verbalize - clinicians, senior engineers, craftspeople - the layered structure transfers even where the cooking domain doesn’t.

The transferable claim isn’t “use allegories.” It’s that tacit knowledge behaves as at least three interdependent layers - declarative, procedural, relational - and each needs a different instrument, arranged so each one can be read against the last. Remove any phase and the others lose what made them interpretable: the baseline gives the observation meaning, the observation gives the allegory something to anchor to. No prior method combined behavioural observation with structured allegorical displacement - that combination is the contribution. For anyone researching expertise that won’t verbalize - clinicians, senior engineers, craftspeople - the layered structure transfers even where the cooking domain doesn’t.

OUTCOME

Where it stands

Where it stands

M3 was accepted at ICoRD 2027 (Springer) as a first-author paper - a peer-reviewed, reproducible method for surfacing tacit knowledge across three layers. The pilot stands as evidence of feasibility, not generalizability, and I’ve been explicit about that: five participants, one domain, a single coder, an AI stage that’s still preliminary. What changed for me is how I read a thin interview answer - “you just get a feel for it” now reads as a pointer to a structured system I haven’t reached yet, not the end of the data. The next work is testing the method where you can’t watch the task at all.

M3 was accepted at ICoRD 2027 (Springer) as a first-author paper - a peer-reviewed, reproducible method for surfacing tacit knowledge across three layers. The pilot stands as evidence of feasibility, not generalizability, and I’ve been explicit about that: five participants, one domain, a single coder, an AI stage that’s still preliminary. What changed for me is how I read a thin interview answer - “you just get a feel for it” now reads as a pointer to a structured system I haven’t reached yet, not the end of the data. The next work is testing the method where you can’t watch the task at all.

THE RESULT

The Undocumentable, Documented.

The Undocumentable, Documented.

The Undocumentable, Documented.

Seven tacit patterns, convergent across five strangers — a reproducible, peer-reviewed method, accepted at ICoRD 2027 (Springer).

Seven tacit patterns, convergent across five strangers — a reproducible, peer-reviewed method, accepted at ICoRD 2027 (Springer).

Seven tacit patterns, convergent across five strangers — a reproducible, peer-reviewed method, accepted at ICoRD 2027 (Springer).

NEXT PROJECT

ARiA — XR assistant →

The ICWIHI-published research → product piece.