--- title: "incling incAI Enquire competitive profile" source: internal-research created: "2026-06-26" status: active tags: [competitive, incling, incai, incai-enquire, ai-analysis, conversational-analysis, online-community, mroc, internal] --- # Competitive Profile: incling incAI Enquire Date checked: 2026-06-26 ## Scope This note profiles **incling** with a specific focus on its newly launched AI feature, **incAI Enquire**, using a vendor sales deck supplied by Desmond plus a light public-web pass. incAI Enquire is the conversational "chat with your community data" analysis tool inside the wider **incAI** family that incling consolidated in 2026. Confidence note: capability statements below are **vendor marketing claims** from the deck and public sources, not verified product behaviour. Treat them as positioning signals, not confirmed feature parity. Internal source material: - `competitive/source-material/incling-incai-enquire/incai-enquire-incling-deck-2026-06-26.pdf` (raw deck, preserved for retrieval) - `competitive/source-material/incling-incai-enquire/incai-enquire-deck-note-2026-06-26.md` (transcribed claims) - `competitive/source-material/incling-incai-enquire/incling-web-research-2026-06-26.md` (company/platform context) ## Executive summary - incling is an established UK online insight community / MROC and qualitative platform (online communities, digital ethnography, diary studies, rapid-turn qual), multilingual at 27 languages, with three engagement models (self-serve, managed, full-service). - **incAI Enquire** is incling's entry into AI-native analysis: an in-platform conversational assistant that lets researchers ask plain-English questions across their community data and get back themes, segment comparisons, priorities, and "what to do next" recommendations. - It sits inside the broader **incAI** family (translation, transcription, summarisation, AI-supported moderation across text/video/audio), launched with **free initial access to clients in Q2 2026** as the start of a wider 2026 AI roadmap. This is a land-and-expand move to make AI table stakes for their community base. - Where it overlaps EmpathyIQ: the conversational-analysis-over-research-data layer, segment comparison, trend tracking, and the "move from what's in the data to what to do next" strategic-reasoning pitch. - Where it does **not** reach (based on the deck and public surface): no pre-launch questionnaire / survey-design QA, no in-field data-quality / fraud / bot governance beyond a single "data not used to train LLMs" line, no source-linked answer provenance, and no cross-study / whole-org institutional-memory positioning. Scope reads as single-community analysis, not a Research OS. - Net read: incAI Enquire is a credible, well-packaged **analysis-layer** competitor for our Knowledge / conversational-insight story within the qual-community segment. It is **not** a confidence/governance competitor and does not contest our before/during/after defensibility operating model. ## Company and platform snapshot incling presents as a qualitative-led online community platform with expert services. Public signals: - Core methods: online insight communities, digital ethnography, diary studies, rapid-turn qual programmes. - Multilingual: 27 languages. - Built with developers, researchers, psychologists and anthropologists. - Three engagement models so clients pick their support level: self-serve platform, managed service, full-service qual. - Co-founder: Juliet Pascall. This places incling closest to our **Discussion Groups / insight-community** territory rather than to enterprise quant or knowledge-repository players. ## What incAI Enquire appears to be From the deck, incAI Enquire does six things: 1. **Conversational analysis over community data.** Plain-English questions ("What are the key themes emerging?", "What do participants love most and what frustrates them?") answered in-platform, with a chat UI and a free-text ask box. 2. **Uses preloaded screener context.** Can fold in demographics, purchase behaviours and segments for richer answers. 3. **Flexible filtering.** Ask across the whole community or filter by screener questions, tasks, or specific participants (the UI shows Filter Screeners / Filter Users / Filter Tasks chips). 4. **Segment and trend analysis.** Compare groups/segments and track how opinions, attitudes and behaviours change over time. 5. **Brings in external data.** Can "connect to external data sources" to frame insight through a specific brand, category, or strategic context. 6. **Strategic next-step reasoning.** Explicitly pitches moving from "what's in the data" to "what to do next", including identifying gaps and shaping a second phase of research. Strapline: **"Ask. Analyse. Act. All in one conversation."** The one governance claim in the deck: **"No data is shared with LLMs for training purposes."** ## How they sell it The commercial story rests on a few simple messages: 1. **Your community is an under-used asset.** Every comment and activity, past or present, becomes queryable insight. 2. **Analysis should be a conversation, not a project.** Iterative back-and-forth replaces manual cross-tabbing and coding. 3. **Speed to confident decisions.** "Turn community data into confident decisions, faster." 4. **From data to action.** The differentiating pitch above generic summarisation: recommendations and next-phase design, not just theme extraction. 5. **AI as assistant, not replacement.** Public framing (co-founder) keeps researchers in control; AI removes operational load so teams "focus on the insight." ## Where they look strongest - **Embedded in an existing community base.** Enquire ships into communities clients already run, so adoption friction is low. The Q2 2026 free-access push is designed to make it default behaviour fast. - **Clean, easy-to-repeat message.** "Ask. Analyse. Act." plus concrete example prompts is a simple, demoable story. - **Action/strategy framing.** "What to do next" and "what would a second phase look like" pushes past summarisation into recommendation territory, which speaks to a real reporting bottleneck. - **Segment + trend + external-data context.** Screener-aware filtering and external-data grounding make answers feel contextual rather than generic. - **Multilingual depth.** 27-language coverage is a genuine strength for international qual. ## Where they look weaker or less clear - **No pre-launch design governance.** Nothing in the deck or public surface addresses questionnaire / discussion-guide QA before fielding (our Research Guard space). - **Thin data-quality / fraud posture.** The only data claim is "not used to train LLMs". No bot/fraud/engagement-quality framework comparable to Trust Centre or the Real, Unique, Engaged framework / 38 signals. - **No visible answer provenance.** No claim that answers cite or trace back to the specific respondents, comments, or activities behind them. For defensibility-minded buyers this is a gap; it is also exactly our strength. - **Single-community scope.** Reads as analysis within "your community", not cross-study or whole-organisation institutional memory across every source system. - **Vendor-claim maturity unknown.** All capability statements are marketing; depth, accuracy, and hallucination controls are unverified. The free-access launch suggests an early, adoption-first stage. - **Qual-community lane.** Strong in MROC/qual; not positioned as enterprise quant survey QA, weighting, or significance testing. ## Why this matters for EmpathyIQ incAI Enquire is most relevant to our **Knowledge / conversational-insight** layer and to our **Discussion Groups** positioning, where incling is a direct category neighbour. ### Where incling may currently feel ahead - Frictionless distribution into an installed community base, accelerated by free Q2 2026 access. - A crisp, demoable "chat with your data, get to action" message. - Mature multilingual qual operation behind the AI. ### Where EmpathyIQ differentiates - **Defensibility and provenance.** Source-linked, traceable answers vs incling's unstated provenance. This is the wedge: we make the answer defensible, not just fast. - **Before / during / after confidence model.** Research Guard pre-launch QA and Trust Centre in-field quality (Real, Unique, Engaged, 38 signals) have no incling equivalent. Their only data line is a training-data disclaimer. - **End-to-end chain, not just an analysis box.** We run the study (quant, qual, AI interviews), govern quality in-flight, then connect and activate insight. incAI Enquire is an analysis layer over community data the client already collected. - **Cross-study / institutional memory.** Our Knowledge and Insight Navigator direction targets whole-org reuse, beyond a single community. ### Where the gap is closing (watch items) - Conversational analysis over research data is now table stakes across the category (Listen Labs, Bounce, incling, and others). The differentiator is no longer "ask your data in plain English"; it is **how trusted, traceable, and governed the answer is**. - "From data to action / next-phase design" is a strong, sticky message. We should make sure our analysis and reporting story matches or beats incling on the action-and-recommendation framing, not only on rigour. ## Practical takeaways 1. **Log incling as an analysis-layer competitor in the qual-community lane**, not a confidence/governance competitor. Do not over-rotate; it does not contest our Trust Centre or Research Guard story. 2. **Lean on provenance and defensibility in any head-to-head.** incAI Enquire markets conversation and action but says nothing about citing or tracing its answers. That contrast is our cleanest differentiator. 3. **Match the "Ask. Analyse. Act." action framing.** Buyers respond to "what to do next." Ensure our conversational-insight messaging is as concrete on recommendations and next-phase design. 4. **Watch the 2026 incAI roadmap.** Free Q2 2026 access is a base-capture move. If incling later adds provenance, in-field quality, or cross-study memory, the overlap with us deepens. Re-check before any GTM or sales-asset update that references the qual-community segment. ## External sources checked on 2026-06-26 - - - - - ## Internal repo sources used - `competitive/source-material/incling-incai-enquire/incai-enquire-incling-deck-2026-06-26.pdf` - `competitive/source-material/incling-incai-enquire/incai-enquire-deck-note-2026-06-26.md` - `competitive/source-material/incling-incai-enquire/incling-web-research-2026-06-26.md`