Qualitative Discovery Engine — interview synthesis to deck for consultants

1. The idea

A boutique consultancy wins a change-management engagement. Thirty discovery interviews get recorded over three weeks. Then someone — usually the most expensive person available — reads all of them, colour-codes a spreadsheet, hunts for the quote that proves the point, and rebuilds it as slides. The published baseline for that work is four to eight hours of analyst time per one-hour interview for coding alone, before any cross-interview synthesis; a ten-interview audit runs 40–80 hours, or $16,000–$48,000 of senior labour at partner rates.

The proposal: an AI-native Qualitative Discovery Engine for management consulting. Ingest transcripts (.vtt/.txt/.docx) plus a participant roster CSV; strip PII at the edge and replace it with role vectors ([Role: VP, Dept: Ops, Tenure: 5+]); cluster by theme in a RAG/vector layer with a cryptographic trace back to each quote's timestamp; cross-tabulate sentiment against the org hierarchy to surface contradictions — frontline reporting software friction while VPs report high adoption — and emit native, brand-templated PowerPoint through an OpenXML generator.

2. Fact strip

3. The numbers

4. Why now

No dated forcing function exists, and the window is already occupied.

The plan's implicit "why now" is that LLMs can finally do multi-document qualitative synthesis. True — and the market has already acted on it. Skimle is live at €20/month explicitly pitching consultants and investors; Brightdeck ships interview-themes-to-PowerPoint today; Dovetail has owned qualitative analysis since well before this wave. This is not a window opening. It is a category mid-consolidation.

The one genuinely fresh element is the CISO/NDA angle — 2026 buyers do name "SOC 2 compliant, don't train on our data, limit access scope" unprompted as purchase criteria (r/msp, Jun 2026). But Skimle already ships "Skimle Anonymise" for exactly this. Timing caps at 5.

5. The receipts

The time claim is real — and the plan understates it. The proposal says consultants burn 15–20 hours per project. The published benchmarks are worse:

• 4–8 hours of analyst time per 1-hour interview for coding alone, per academic qualitative-research guidance — before cross-interview synthesis.
• A 10-interview audit: 40–80 hours of pure analysis before findings are written, $16,000–$48,000 in senior labour at $400–600/hr partner rates (2026 consulting analysis).
• A 20-interview engagement consumes three to five full working days of analyst time, more when note quality is uneven.
• Researchers cap studies at 8–15 interviews because that is what one analyst can hold in working memory — a hard ceiling the plan's 10–50 interview ICP runs straight into (methodology guide, 2026).
• AI-assisted synthesis reportedly cuts 40–60 hours to 15–25 for 50+ interviews (Perspective AI).

The honest gap in the evidence: none of this is a consultant complaining in their own words. Searches of r/consulting for transcript-synthesis pain returned essentially nothing on-topic — consultants are NDA-bound and don't post about live client work, so the community-receipt channel that produced strong evidence for other reports in this corpus is structurally unavailable here. The demand evidence is industry-published and vendor-adjacent rather than overheard. That is weaker sourcing, and it is why confidence is medium despite a pain score of 8.

The compensating evidence is commercial: people are already paying. Dovetail runs $29–99/user/month with a reported 5-seat minimum; Condens costs a 10-researcher team $12,000–$14,400/year (2026 pricing comparison). A market with this many funded vendors is not a market with no demand.

6. Whitespace

This is where the idea breaks, and it is worth being exact about it.

The proposal is two products stapled together, and both halves already exist, aimed at this exact buyer, at lower prices.

Front half — Skimle (€20/month): "an AI-native workspace for analysing interviews and other qualitative data." It ships Skimle Anonymise to "remove sensitive data" (the Role-Vector Anonymization Pipeline), builds "a structured theme hierarchy across all of them" where "every finding links back to source quotes" (the Context Graph & Evidence Engine), and positions itself as "fast enough to fit a two-week engagement, rigorous enough to survive a partner review" — naming commercial due diligence and strategy consulting as its markets. That is the proposal's ingestion, anonymization, and evidence layers, shipped, at €20.

Back half — Brightdeck: an AI presentation maker for consultants whose own example prompt is "Turn these interview themes into a 12-slide executive readout with key findings, implications, and recommended next steps." It extracts deck style from uploaded past client deliverables — "layouts, typography, and formatting conventions included" — and outputs editable native PowerPoint. That is the Native Slide Layout Engine, shipped.

What is genuinely unclaimed: org-hierarchy cross-tabulation. Linking every quote and sentiment score to role, department and tenure, then automatically surfacing polar-opposite views between levels of the hierarchy — frontline friction versus VP-reported adoption — is a real capability I could not find in any competitor. Dovetail tags by participant attributes; nobody markets contradiction detection across an org chart.

But that is a feature, not a product. It is one differentiated capability sitting on top of two commodity layers that competitors sell for €20/month.

7. Proof & signals

• The pain is expensively priced and independently documented: 40–80 hours and $16K–$48K per 10-interview engagement (2026).
• The category sustains real pricing: Dovetail $29–99/user/mo; Condens $12–14.4K/year for ten researchers (comparison) — buyers pay four figures annually for qualitative analysis software.
• At least six funded entrants are building consulting-deck AI: Brightdeck, ChatSlide, Decky AI, Perceptis AI, Xavier AI ("McKinsey-grade decks"), plus Alai. Crowding is demand proof and whitespace poison simultaneously.
• Confidentiality is a live purchase criterion, named unprompted by SMB buyers alongside SOC 2 (r/msp, 100 comments) — the CISO framing in the plan is correctly identified, just not exclusive.

8. Who you're up against

• Skimle (€20/mo) — INCUMBENT. Consultant- and investor-targeted qualitative analysis with built-in anonymisation, cross-document theme hierarchy, and quote-level source linking. The proposal's front half at a fifth of plausible pricing.
• Brightdeck — consultant-specific AI deck generation from interview themes, with style extraction from the firm's past deliverables and native editable .pptx. The proposal's back half.
• Dovetail ($29–99/user/mo, 5-seat minimum) — the category leader in qualitative analysis. Not consulting-shaped, but the default anyone evaluating this buys first.
• Condens / Notably — cheaper, simpler qualitative platforms; Condens $12–14.4K/yr at ten researchers.
• ChatSlide / Decky AI / Perceptis / Xavier AI — due-diligence and IC-memo deck generation, several explicitly handling CIMs and diligence reports.
• Claude or ChatGPT plus a partner's own prompt library — the honest default. Weak at multi-document cross-referencing, as the plan says, but free at the margin and improving every quarter.
• A junior analyst and a spreadsheet — still what most boutiques actually do, and the thing whose cost justifies the whole pitch.

9. The verdict

Reasons to build

• The pain is large, expensive and independently quantified — 40–80 hours and up to $48K of senior labour per engagement — and the plan understates it, which is a rare and good sign about the author's calibration.
• Org-hierarchy cross-tabulation is genuinely unclaimed. Sentiment mapped to role, department and tenure, with automatic contradiction surfacing between levels, is a real capability nobody markets, and it is exactly the insight a change-management or org-redesign engagement is sold on.
• Willingness to pay is proven at four figures annually by Dovetail and Condens, so the buyer's budget line exists.
• The output format is the correct wedge instinct: consultants are judged on decks, and a tool that ends at markdown ends one step short of the deliverable. Brightdeck agrees, which is both validation and the problem.
• Confidentiality-first architecture (ephemeral parsing, role-vector redaction, no bots on calls) is a credible differentiator against recording-bot incumbents, and one that matters more in M&A diligence than in UX research.

Reasons to not build

• Both halves already ship, to this buyer, cheaper. Skimle sells the ingestion/anonymisation/theme-hierarchy layer to consultants and investors at €20/month; Brightdeck sells interview-themes-to-branded-PowerPoint. The proposal's differentiated surface reduces to one feature — org cross-tab — bolted onto two commoditised ones.
• The novel feature is the weakest-evidenced part of the plan. Every sourced number in this report supports synthesis is slow and expensive. Nothing found supports firms are losing deals or blowing engagements because they missed a frontline-versus-VP contradiction. The valuable half is the unvalidated half.
• Deck generation is the most crowded AI category of 2026. Six-plus funded entrants target consulting decks specifically, several with McKinsey-alumni positioning and existing distribution. Competing on .pptx fidelity means an OpenXML arms race against companies whose entire product that is.
• The buyer is the same one Aether already targets — boutique consulting firms, reached through the same pipeline. Two separate products sold to one ICP is a coherence problem: the same firm gets two pitches, two contracts and two logins for capabilities that would be stronger combined.
• The confidentiality pitch demands SOC 2 to be credible. Selling "CISO-safe" to M&A diligence buyers and then having no report to show is worse than not raising the topic. SOC 2 is not a sub-$1K line item, and the budget on file is under $1K per bet.
• Interview volume caps the deal size. Engagements are episodic — 10–50 interviews, a few times a year — so per-project usage is lumpy and seat-based pricing is hard to justify between engagements. This is a workflow tool with a duty cycle, which is why Dovetail's own model needs five-seat minimums to work.

10. Founder fit

The idea demands: distribution 7/10 · domain 7/10 · sales 6/10 · technical 7/10 · capital 5/10

Best for: an ex-consultant with live boutique relationships who can sell the org-contradiction insight as a methodology — and who is not already building something else for the same buyer.

The Rui check. On paper the axes look fine — technical 9 against 7, domain 8 against 7, and the ICP is one his pipeline already reaches. The problems are strategic rather than skill-based:

• It duplicates an asset he has already built. Aether's Debrief agent already turns call transcripts into decisions, actions and owners for boutique consulting firms, on top of an index that already holds the transcripts, the client segmentation and the citation trace. Standing this up separately means rebuilding that foundation to reach one feature — the single strongest argument in this report, and the reason the verdict is fold-in rather than build.
• Capital 2 vs. demand 5. The CISO/NDA wedge is only worth having with SOC 2 behind it, which the budget does not cover.
• Distribution 5 vs. demand 7, with the same mitigant and the same limitation as every other idea here: the pipeline is warm but small.
• Goal check: at Dovetail-comparable pricing (~$50/user/mo, 4 seats per firm), $5K MRR needs ~25 firms. Reachable in principle — but only if the hours exist, and they are currently allocated to Aether.

11. Value ladder

12. The plan

Test the only part that is actually new, before building any of the rest.

The synthesis and deck layers are purchasable today for €20/month; there is no learning in rebuilding them. The unknown is whether org-hierarchy cross-tabulation is a paid insight or a nice chart. That is testable manually, this month, with no code:

Take two past engagements' transcripts (Rui's own consulting work, or a design partner's, with permission). Build the role-vector mapping by hand in a spreadsheet. Produce one heatmap showing where frontline sentiment diverges from VP sentiment on the same topic, with quotes attached. Show it to five boutique partners and ask one question: would you have paid for this on that engagement, and how much?

If the answer is yes, the finding belongs in Aether — which already owns the transcripts, the client segmentation and the citation trace — not in a second product with its own auth, billing, brand and SOC 2 bill. If the answer is no, the whole idea collapses to a worse-funded Skimle competitor and should be dropped.

Hardest part: the roster mapping. Real engagements have inconsistent speaker labels, unnamed attendees, and people who change roles mid-project. Every demo will look clean; every real transcript will not.

13. Napkin math — year one

Modelled as a standalone product, which is what the plan proposes.

Weakest assumption: the 4% trial rate. Unlike a subscription, this only converts when a firm is mid-engagement with interviews in hand — a narrow window that outreach cannot time. Episodic demand is the structural problem with the standalone model, and it is why the numbers here are worse than Aether's despite a higher pain score.

Goal gap: exit-year run rate ~$1.6K MRR against $5K, with a compliance bill that plausibly exceeds year-one revenue.

14. The ceiling

$1M–$3M ARR standalone — a good outcome would be a few hundred boutiques at $4–6K/year. The ceiling is held down by episodic usage and by the fact that both commodity layers deflate toward zero as general models improve at multi-document reasoning. The durable asset is the org-graph representation, not the synthesis; and an org-graph is worth far more attached to a permanent client record than to a per-project tool that forgets everything when the engagement ends.

15. Playbook prompts

• Build plan: "Read reports/2026-09-01-qualitative-discovery-engine.md. Spec the org-hierarchy cross-tabulation feature as an Aether capability: roster ingestion, role-vector schema, the contradiction-detection query, and the heatmap output — reusing Aether's existing citation trace."
• Roast: "Read reports/2026-09-01-qualitative-discovery-engine.md and roast it as (a) Skimle's founder, (b) a boutique partner who already pays for Dovetail, (c) a CISO asked to approve it without a SOC 2 report."
• Money model: "Read reports/2026-09-01-qualitative-discovery-engine.md. Model per-engagement vs seat pricing against the episodic duty cycle, and find whether the org-cross-tab feature alone would raise Aether's price."

16. Verdict & next move

PIVOT · medium confidence

The pivot: this is an Aether feature, not a second company.

The pain is real, expensive, and better-documented than the plan claims — 40–80 hours and up to $48K of senior labour per ten-interview engagement. But the product as scoped is two commodity layers plus one novel one. Skimle sells the front half to consultants at €20/month with anonymisation and quote-level citation already built; Brightdeck sells the back half with brand-matched native PowerPoint. Rebuilding both to reach the one idea nobody else has — sentiment cross-tabulated against the org chart, contradictions surfaced between hierarchy levels — is a large amount of undifferentiated work to deliver a single differentiated feature.

That feature, though, is worth having. And it belongs where the transcripts, the client segmentation and the citation trace already live: Aether already has Debrief, already serves boutique consulting firms, already reaches this exact buyer through the same pipeline. Org-hierarchy cross-tab plus a .pptx export would deepen a product being sold today rather than open a second front against funded competitors — and it would make Aether's Debrief materially harder to copy, which is precisely what that product's moat argument currently lacks.

Next move: hand-build one contradiction heatmap from a past engagement's transcripts — spreadsheet, no code — and put it in front of five boutique partners with one question: would you have paid for this, and how much. If yes, it is Aether's next feature. If no, drop it. Cost: one evening, $0.