{"site":{"name":"Koji","description":"AI-native customer research platform that helps teams conduct, analyze, and synthesize customer interviews at scale.","url":"https://www.koji.so","contentTypes":["blog","documentation"],"lastUpdated":"2026-06-06T07:21:08.359Z"},"content":[{"type":"blog","id":"77a33619-9c51-4e03-b34b-1300d56d1a81","slug":"koji-vs-enterpret-2026","title":"Koji vs Enterpret (2026): AI Customer Interviews vs Feedback Intelligence","url":"https://www.koji.so/blog/koji-vs-enterpret-2026","summary":"Koji vs Enterpret 2026 comparison: Enterpret is a sales-led customer feedback intelligence platform (estimated $30K-$100K+/yr) that ingests existing feedback from Zendesk, Intercom, app stores, NPS, and community channels and organizes it with an adaptive taxonomy and Context Graph. Koji is an AI-native customer research platform (Free with 10 credits, €29/mo Insights, €79/mo Interviews) that generates new data by moderating async voice and chat interviews, asking dynamic follow-ups, supporting 6 structured question types, and auto-coding themes. Enterpret analyzes unsolicited feedback you already have; Koji produces solicited insight by asking new questions. Most teams use both: Enterpret as the listening layer, Koji for discovery, churn, win/loss, and concept testing.","content":"**TL;DR:** Enterpret is a customer feedback *intelligence* platform — it ingests the feedback you already collect (support tickets, app reviews, NPS verbatims, community posts) and uses AI to categorize it into an evolving taxonomy. Koji is an AI-native customer *research* platform — it runs moderated voice and chat interviews on demand, asks dynamic follow-ups, and codes themes across every conversation. Enterpret analyzes the past. Koji generates the future. They sit on opposite ends of the insight pipeline.\n\n## Quick answer: which one solves your problem?\n\n- **Choose Enterpret** if you have a high volume of inbound feedback flowing in from Zendesk, Intercom, app stores, NPS, and Slack, and you need one place to aggregate, tag, and trend it.\n- **Choose Koji** if you need to *go ask* customers something you do not have answers to yet — discovery, churn diagnosis, win/loss, concept tests, pricing reactions — and you want the AI to moderate the interviews and synthesize the themes.\n\nEnterpret is a listening layer for feedback you are already receiving. Koji is a research engine for questions you have not asked yet. The difference matters: no amount of taxonomy can extract an answer from feedback nobody ever gave you.\n\n## What Enterpret actually does\n\nEnterpret is a unified customer feedback intelligence platform. It connects to the channels where unsolicited feedback already lives — Zendesk, Intercom, Slack, Twitter/X, app store reviews, community forums, and NPS/CSAT survey verbatims — and consolidates them into a single source of truth. Its core strengths:\n\n- **Adaptive taxonomy.** Enterpret builds a continuously evolving categorization that reclassifies feedback as your product language shifts, avoiding the quarterly taxonomy rebuilds that plague legacy text analytics.\n- **Context Graph.** It connects each feedback signal to customer segment, lifetime value, lifecycle stage, and product area, so you can quantify which segments are asking for what.\n- **Sentiment and topic clustering**, natural-language search, dashboards, alerts, and an MCP server that lets Claude or ChatGPT query the feedback corpus programmatically.\n\nEnterpret does not publish pricing; it is a sales-led, enterprise-tier product. Industry reports peg annual contracts in the **$30,000–$100,000+** range depending on data volume. Reviewers consistently praise its aggregation power but note a meaningful learning curve given the breadth of functionality.\n\nThe fundamental constraint: **Enterpret can only analyze feedback that already exists.** If your churned customers never wrote a ticket explaining *why* they left, that reason is invisible to any aggregation tool — there is nothing to aggregate.\n\n## What Koji does differently\n\nKoji is built for the other half of the pipeline: generating primary research data that did not exist five minutes ago. You describe what you want to learn, and Koji's AI moderates [async voice and chat interviews](/docs/ai-moderated-interviews), asking real-time follow-up probes based on what each respondent says — not a fixed script.\n\n- **AI-moderated interviews** at scale, in 30+ languages, with [dynamic probing](/docs/how-ai-interviewers-work) that digs into the *why* behind every answer.\n- **Six structured question types** — open_ended, scale, single_choice, multiple_choice, ranking, and yes_no — so a single Koji study captures both the quantitative measure and the conversational reasoning behind it. (See the [structured questions guide](/docs/structured-questions-guide).)\n- **Automatic thematic analysis** across every transcript in a study, with [themes and patterns](/docs/understanding-themes-patterns) surfaced and supported by verbatim quotes.\n- **One-click reports** and an [AI consultant](/docs/understanding-the-ai-consultant) you can interrogate about your findings.\n- An [MCP server](/docs/mcp-overview) so you can launch studies and pull insights from Claude, Cursor, or your own tooling.\n\nKoji is transparent and self-serve: **Free** (10 one-time credits), **Insights at €29/month** (29 credits), **Interviews at €79/month** (79 credits), and custom Enterprise. Credits are spent per conversation (1 for chat, 3 for voice, 5 for a report refresh), and a built-in quality gate means only conversations scoring 3+ ever consume a credit.\n\n## Head-to-head comparison\n\n| Dimension | Enterpret | Koji |\n|---|---|---|\n| Category | Feedback intelligence (analyze existing feedback) | AI research platform (generate new interviews) |\n| Core input | Tickets, reviews, NPS, community, Slack | Customers answering moderated interviews |\n| Asks follow-up questions | No — it tags what was already said | Yes — real-time AI probing |\n| Structured + qualitative in one study | No | Yes — 6 question types |\n| Thematic analysis | Yes, across inbound channels | Yes, across interview transcripts |\n| Best for | VoC aggregation, trend monitoring | Discovery, churn, win/loss, concept/pricing tests |\n| Pricing | Sales-led, ~$30K–$100K+/yr | Free → €29 → €79 → custom |\n| Time to first insight | Days to weeks (integration + taxonomy) | Hours |\n\n## The real distinction: solicited vs unsolicited insight\n\nThis is the heart of the comparison. Enterpret is exceptional at making sense of **unsolicited** feedback — the steady stream customers volunteer through support and reviews. But unsolicited feedback is biased toward the loudest moments: bugs, outages, and billing complaints. It rarely tells you why a prospect chose a competitor, what nearly stopped someone from upgrading, or how a brand-new concept lands.\n\nKoji produces **solicited** insight — you choose the question, the audience, and the moment. That is why teams run Koji for the high-stakes questions where waiting for inbound feedback is not an option: [win/loss interviews](/docs/win-loss-analysis-guide), churn diagnosis, and pre-launch concept validation.\n\n## What the 2026 data says\n\nThe research function is becoming strategic, and speed is the differentiator:\n\n- The share of organizations where research is essential to **all levels of business strategy nearly tripled in a year — from 8% in 2025 to 22% in 2026** (Qualtrics 2026 Market Research Trends).\n- **63% of teams** cite time and bandwidth as their top research constraint, and **39%** struggle to recruit participants in time (State of User Research 2026). AI-moderated interviewing directly attacks both.\n- **Customer interviews remain the #1 research method at 86% adoption**, ahead of usability testing (84%) and surveys (77%) — primary conversations still beat passive listening.\n- More than half of researchers (**53%**) now use AI regularly, and Qualtrics found teams *not* using AI are **4x more likely to lose organizational influence**.\n\nThe takeaway: aggregating existing feedback is table stakes. The strategic edge in 2026 comes from how fast you can ask a new question and get a synthesized, defensible answer — which is exactly Koji's design center.\n\n## Do you need both?\n\nOften, yes — and they do not overlap. Keep Enterpret as the always-on listening layer for inbound feedback at scale. Add Koji whenever you need to *initiate* a conversation: validate what the inbound data is hinting at, interview the churned accounts that never filed a ticket, or pressure-test a concept before you build it. Enterpret tells you *what people are already saying*; Koji lets you *ask the question nobody has answered yet*.\n\nIf you only have budget for one and you are a startup or a lean product team that does not yet have a firehose of inbound feedback, start with Koji — you can run real research this week for the price of a team lunch. If you are an enterprise drowning in inbound tickets and reviews, Enterpret earns its seat — and Koji becomes the scalpel for the questions aggregation cannot answer.\n\n## Try Koji free\n\nKoji turns a research question into synthesized insight in hours, not weeks — no moderator, no recruiting agency, and no research expertise required. Run AI-moderated voice and chat interviews, capture structured and qualitative answers in one study, and get an auto-coded report with quotes you can act on. [Start free with 10 credits](https://www.koji.so) and see the difference between analyzing feedback and generating it.","category":"Comparisons","lastModified":"2026-06-06T03:16:27.64911+00:00","metaTitle":"Koji vs Enterpret 2026: AI Interviews vs Feedback Intelligence","metaDescription":"Enterpret aggregates and tags the feedback you already have. Koji is an AI-native research platform that runs moderated voice and chat interviews on demand. Honest 2026 comparison of features, pricing, and use cases.","keywords":["koji vs enterpret","enterpret alternative","enterpret vs koji","feedback intelligence platform","enterpret pricing 2026","customer feedback analysis","ai customer research platform 2026"],"aiSummary":"Koji vs Enterpret 2026 comparison: Enterpret is a sales-led customer feedback intelligence platform (estimated $30K-$100K+/yr) that ingests existing feedback from Zendesk, Intercom, app stores, NPS, and community channels and organizes it with an adaptive taxonomy and Context Graph. Koji is an AI-native customer research platform (Free with 10 credits, €29/mo Insights, €79/mo Interviews) that generates new data by moderating async voice and chat interviews, asking dynamic follow-ups, supporting 6 structured question types, and auto-coding themes. Enterpret analyzes unsolicited feedback you already have; Koji produces solicited insight by asking new questions. Most teams use both: Enterpret as the listening layer, Koji for discovery, churn, win/loss, and concept testing.","aiKeywords":["enterpret vs koji","enterpret alternative","feedback intelligence","customer feedback analysis","ai customer research","ai moderated interviews","voice of customer","thematic analysis","customer interview platform","feedback aggregation","enterpret pricing","solicited vs unsolicited feedback","churn analysis","win loss analysis","vo c platform"],"aiContentType":"comparison","faqItems":[{"answer":"Not in the primary-research sense. Enterpret is a customer feedback intelligence platform that aggregates and auto-tags feedback you already collect from support tickets, app reviews, NPS verbatims, and community channels. It does not run interviews or ask follow-up questions. To generate new research data, a moderated interview platform like Koji is the right fit.","question":"Is Enterpret a customer research platform?"},{"answer":"Feedback intelligence (Enterpret) makes sense of unsolicited feedback customers already volunteered. Customer research (Koji) generates solicited insight by asking customers specific questions through moderated interviews. The first analyzes the past; the second answers questions you have not asked yet.","question":"What is the difference between feedback intelligence and customer research?"},{"answer":"Enterpret is sales-led with no public pricing; industry estimates put annual contracts at roughly $30,000-$100,000+ depending on data volume. Koji is transparent and self-serve: Free with 10 credits, €29/month for Insights, €79/month for Interviews, and custom Enterprise. Koji lets a small team run real research this week without a contract.","question":"How does Koji compare to Enterpret on price?"},{"answer":"Only if churned customers wrote about it somewhere Enterpret ingests. It cannot extract a reason that was never volunteered. Koji solves this by proactively interviewing churned accounts and probing for the real reason, then coding the themes across every conversation.","question":"Can Enterpret tell me why customers churned?"},{"answer":"Many teams do, and they do not overlap. Enterpret is the always-on listening layer for inbound feedback at scale. Koji is the research engine for initiating new conversations - discovery, churn diagnosis, win/loss, and concept or pricing tests. Enterpret tells you what people are already saying; Koji lets you ask what nobody has answered yet.","question":"Do I need both Koji and Enterpret?"},{"answer":"Koji. A Koji study can go from question to synthesized, auto-coded report in hours. Enterpret requires channel integration and taxonomy setup before it produces trends, which typically takes days to weeks - and it still depends on feedback already existing.","question":"Which is faster to get insight from?"}],"relatedTopics":["feedback intelligence","enterpret alternative","customer feedback analysis","ai customer research","ai moderated interviews","voice of customer platform","thematic analysis","win loss analysis","churn analysis"]}],"pagination":{"total":1,"returned":1,"offset":0}}