Three interviews and a workshop produce four hours of transcript and one afternoon of dread. This playbook pushes that raw material through a themed synthesis where every stated need carries a speaker and timestamp — and adds the spot-verification pass that keeps invented requirements out of your pack.
Workflow area: Elicitation & Discovery · Tier: Foundation · Hands-on time: ~25 minutes
The synthesis step is where elicitation quietly fails. Analysts either drown in transcripts and summarize from memory, or they hand the pile to an AI and inherit whatever the model decided stakeholders "probably meant." The fix is not avoiding AI — it is forcing citation discipline: no theme, no need, no pain point enters your requirements pack without a named speaker, a timestamp, and a verbatim quote you can check. The model does the sorting; you do the verifying; the stakeholder does the confirming.
Assemble the evidence pack. Collect every transcript from the elicitation round — meeting-AI exports from Teams, Zoom, or Fireflies work fine. Label each file with session name, date, and attendee roles. Strip anything the sessions touched that is out of scope for this analysis (HR matters, unrelated projects). Five minutes of curation here saves an hour of confusion later.
Run the themed synthesis with citation rules. Paste the transcripts (or attach the files) into Claude or ChatGPT with this prompt:
You are a business analyst synthesizing elicitation sessions.
Project context: [ONE LINE — e.g. "replacing manual vendor
onboarding at a 900-person manufacturer"]
Sessions: [LIST — e.g. "S1: ops team interview 12 May; S2: finance
workshop 14 May; S3: IT walkthrough 15 May"]
Produce a synthesis with these sections:
1. THEMES — group what participants said into 4-8 themes. Under
each theme, list every stated need or pain as one line in the
form: [SESSION, SPEAKER ROLE, TIMESTAMP] verbatim quote —
one-line interpretation.
2. CONFLICTS — statements from different sessions or speakers
that disagree, quoted side by side with citations.
3. OPEN QUESTIONS — things mentioned but never resolved, with
the citation of where they surfaced.
4. NOT SAID — topics in our scope that no session covered.
Rules: use ONLY the transcripts. Never merge two speakers into
one quote. Never paraphrase inside quotation marks. If you are
not certain a quote is verbatim, tag it [CHECK]. If a theme has
thin evidence (one mention), tag it [THIN]. Do not infer needs
that nobody stated.
Transcripts:
[PASTE STAKEHOLDER NOTES / TRANSCRIPTS]
Read the output as a skeptic, not a customer. Good output looks like this:
THEME 2: Approval delays dominate onboarding pain
- [S1, Ops lead, 14:32] "a new vendor sits for nine days waiting
on the second signature" — cycle time driven by approvals, not
data entry.
- [S2, Finance manager, 08:17] "we won't drop the second approval,
that's an audit finding waiting to happen" — control is
non-negotiable; speed must come from routing, not removal.
CONFLICTS
- S1 Ops lead (22:10) wants approval thresholds raised to $50k;
S2 Finance manager (31:44) states thresholds are set by treasury
policy and are out of project scope.
Spot-verify before anything ships. Pick at least three citations per theme — prioritize [CHECK] tags, quotes with numbers, and anything that would change scope — and open the transcript at that timestamp. You are checking three failure modes: quotes that were "cleaned up" into something nobody said, quotes attributed to the wrong speaker, and interpretations that stretch past what the words support. Delete or fix anything that fails. A synthesis you have not spot-checked is a draft, not a finding.
Close the loop with the stakeholders. Send each session's participants the themes their session contributed to, with their quotes visible, and ask one question: "did we hear you correctly?" Corrections come back fast when people see their own words. Only after this confirmation do findings graduate into the requirements pack.
Elicitation transcripts carry names, org politics, and sometimes commercially sensitive numbers — process them only in your organization's approved AI workspace, strip identifiers that your consent terms do not cover, and never paste a client's transcript into a personal consumer account.
AI collapses four hours of transcript into thirty minutes of synthesis, but the citation is the product — a themed finding with a speaker, a timestamp, and a stakeholder's confirmation is evidence; everything else is well-formatted guessing.