| name | applied-practice |
| description | Use this skill whenever a user needs client-facing or industry deliverables for applied anthropological work — consulting, UX research, business anthropology, or practicing roles. Triggers include: "statement of work," "SOW," "client report," "stakeholder readout," "executive summary," "insight synthesis," "research repository," "atomic insights," "workshop facilitation," "design sprint," "product team," "consulting engagement," "case study portfolio," "translate my research for business," "UX research deliverable." Covers engagement scoping, insight formulation, readouts and reports, workshop design, research repositories, and translating anthropological concepts for business audiences without losing them. Do NOT use for academic articles or chapters (use research-writing), op-eds and public writing (use public-engagement), academic job materials (use job-materials), or executing the analysis itself (use qualitative-analysis).
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Applied Practice & Client Deliverables
Guide the deliverables of practicing anthropology — consulting
engagements, UX and product research, business anthropology, and
embedded industry roles. The governing principle throughout:
translation without surrender. The client hired an anthropologist
because interpretive depth finds what surveys and analytics miss; a
deliverable that launders out the anthropology is a deliverable that
argues for hiring someone cheaper. Translate the register — scannable,
decision-oriented, owned and dated — and keep the epistemology: emic
grounding, evidence with provenance, interpretation as the product.
This is a practiced tradition, not an improvisation: corporate
ethnography has its own literature, venues (EPIC, NAPA), and craft
standards (Cefkin 2009; Jordan 2013; Ladner 2014; Sunderland and Denny
2014).
Quick Reference
Workflow
Step 1: Scope the Engagement
Read references/engagement-scoping-guide.md
before drafting a statement of work.
- Match the SOW type to the research reality: exploratory ethnography
needs time-and-materials or level-of-effort structures that tolerate
emergence; performance-based and fixed-specification SOWs suit
evaluation studies with stable questions.
- Build in a reframing checkpoint. Applied ethnography routinely
discovers that the client's question is the wrong question — that is
a finding, not a failure. Contract for it: a mid-engagement session
where the question may be revised with the client, so discovery
strengthens the engagement instead of breaching it.
- Specify client responsibilities explicitly (access, introductions,
approval turnarounds, recruitment support) — their absence is the
leading cause of stalled engagements.
- Define success in terms the method can honestly meet: decision
clarity, risk surfaced, options generated — not certainty.
Step 2: Read the Organization as a Field Site
The client is not only the audience; it is a second field site.
- Map the stakeholders ethnographically: who commissioned the work, who
will act on it, who can quietly kill it, and what each counts as
evidence.
- Distinguish the buyer from the user — in enterprise contexts the
purchaser and the person who lives with the product are different
people with different worlds; research that serves only the buyer's
questions misses the adoption story.
- Treat friction as signal. Resistance, emotional responses, and
data disputes during an engagement mark values, fears, and
organizational fault lines — the same disconcertment that drives
ethnographic insight in the field. Read the
translation-and-facilitation guide's friction table before smoothing
anything over.
Step 3: Synthesize Insights, Not Summaries
- An insight is an interpreted pattern with evidence and an
implication — not a finding restated ("users are frustrated") and
not a recommendation floating free of data. Formulate each as:
claim, evidence (verbatim quotes and observations with provenance),
so-what for the decision at hand.
- Declare the interpretive frame doing the work, in plain language:
what the analysis attended to and why. Execute large-corpus analysis
through the qualitative-analysis pipeline; this skill governs how
results become deliverables.
- Keep ethnographic evidence standards intact in business form: real
quotes, attributed to personas or roles rather than names, never
composited into fiction without saying so.
Step 4: Deliver the Readout
Read the deliverables guide for full anatomy. The readout arc:
executive summary (readable in two minutes, and self-sufficient) →
business framing (the decisions this research informs) → brief method
note (rigor without jargon) → thematic insights (pattern + verbatim
evidence + implication) → strategic implications → recommendations
with owners and sequence.
- Lead with what changes, not with what was done.
- The verbatim quote is the applied form of thick description — it
carries the person into the room where decisions happen. Choose
quotes that complicate as well as confirm.
- Where the evidence supports it, project forward: what this pattern
suggests about where users, markets, or practices are moving — and
mark clearly where evidence ends and extrapolation begins.
Step 5: Facilitate Alignment
Workshops convert findings into commitments. Read the facilitation
guide for the session arc (framing → divergence → convergence →
ownership) and exercise formats.
- Facilitation is applied anthropology: managing turn-taking, status,
and voice in a room is participation-structure work. Design so
quieter roles contribute (silent ideation before discussion) and
dominant voices don't set the frame.
- End every session with owned next steps — an insight nobody owns is
a finding that never happened.
Step 6: Operationalize the Knowledge
- Break findings into atomic, tagged, provenance-linked units in a
research repository so insights survive beyond the project and the
team. The deliverables guide carries the schema.
- Consent governs reuse. A quote gathered for one study does not
automatically belong in every future deck, training set, or sales
call. Record consent scope with the finding, and treat repository
reuse as the disclosure event it is.
- Close the loop: log what the organization decided because of the
research — the impact record is both ethics and advocacy.
Guardrails
- Translation without surrender. Swap the vocabulary, keep the
claim: "latent needs" may stand in for emic understanding in a deck,
but the analysis behind it stays interpretive, contextual, and
evidence-bound. If the deliverable would read identically coming
from a generic research vendor, the anthropology has been lost.
- Ethics do not stop at the campus gate. Do-no-harm, informed
consent, and honest representation bind practicing work exactly as
they bind fieldwork (the AAA principles make no academic/applied
distinction). This includes protecting participants from the
client — anonymize when findings could expose workers or users to
consequences.
- Speed shrinks scope, not standards. Rapid research narrows
questions and samples; it does not license fabricated composites,
unverifiable claims, or skipped consent.
- Prediction is bounded by evidence. Clients buy foresight; sell
it honestly — patterns projected, assumptions named, confidence
stated.
- The client relationship is a field relationship. Reciprocity,
clear expectations, and honest reporting of unwelcome findings —
including when the findings say the product should not be built.
Common Failure Modes
The laundered deliverable. Translation so complete that nothing
anthropological remains — generic personas, thin findings, JTBD
boxes. The differentiator is gone and so is the reason to hire you.
The jargon dump. The opposite failure: habitus, liminality, and
assemblage delivered untranslated to a product team. Theory should do
work invisibly; the deck shows the insight, not the citation trail.
Findings without owners. A readout that ends at "implications"
instead of named next steps converts to nothing.
The repository grave. Atomic findings stripped of context and
provenance — searchable, citable, and meaningless. Every unit keeps
its link to the human encounter that produced it.
Serving only the buyer. Research scoped to the purchaser's
questions while the end users — whose adoption decides the outcome —
go unobserved.
The scope-creep spiral. An SOW without client responsibilities
and change terms, absorbing every "quick addition" until the
engagement fails on schedule and the method gets the blame.
Examples
Example 1: Product research readout
Input: "I did three weeks of contextual research on how nurses use our
scheduling software. Help me build the readout for the product team."
Output approach: Insight formulation first (pattern + verbatim +
implication per insight; buyer-vs-user framing — administrators bought
it, nurses live it); readout arc with a two-minute executive summary;
recommendations mapped to roadmap decisions with owners; quotes
anonymized to roles; workshop proposed to convert findings into
sprint-ready commitments.
Example 2: Scoping an exploratory engagement
Input: "A retail client wants 'ethnography of Gen Z shopping.' Help me
write the SOW."
Output approach: Time-and-materials or LoE structure with a defined
discovery phase; reframing checkpoint at midpoint (the interesting
question is rarely the opening one); explicit client responsibilities
(store access, data, stakeholder time); success benchmarks framed as
decision clarity; deliverables specified (readout, repository entries,
workshop) with change terms.
Example 3: Translating without flattening
Input: "My exec sponsor says my report is too academic. How do I fix
it without dumbing it down?"
Output approach: Read the translation guide. Keep every claim; rebuild
the register — executive summary first, one insight per page, verbatim
evidence pulled forward, theory moved from the text into the analysis
that produced it; translate terms via the semantic table (with their
anthropological content intact); reframe the methods section as a
two-paragraph credibility note.