Enterpretvs
SupportmanAn Enterpret alternative that tracks one customer's problem.
Enterpret is a voice-of-customer platform built for product and insights teams: an adaptive taxonomy, a Context Graph linking feedback to people, accounts, ARR and lifecycle, and Close the Loop workflows that watch linked Jira/Linear issues and draft follow-ups to affected customers once an engineering fix ships.
That's a genuinely strong model for connecting product fixes back to the customers who reported them, but it's triggered by an engineering ticket resolving, not by evidence in the conversation itself. Supportman does a narrower, day-to-day job: real-time CSAT/DSAT alerts and AI quality scoring on every closed Intercom conversation, and, in build now, Problem Episodes that infer a problem's outcome from what the customer actually said next, evidence-quoted, with no linked ticket required.
Free trial · No credit card · Connects to Intercom & Slack in under 2 minutes · Visit Enterpret ↗
Two different objects: a theme, and a problem.
With Enterpret
- Close the Loop triggers on a linked Jira/Linear issue resolving, not on conversation evidence that the customer's problem actually ended
- Built for product/insights teams, not day-to-day support quality ops
- Custom enterprise pricing, not published
- No real-time CSAT/DSAT alerting for individual conversations
- A theme-level tool: its unit is a feedback theme shared across many customers, not one customer's specific problem
With Supportman
- Tracks one customer's one problem, not an aggregate theme
- Real-time CSAT & DSAT alerts to Slack the moment a rating lands
- AI quality scoring on every closed conversation
- Building Problem Episodes: outcome inferred from the conversation itself, evidence-quoted, no engineering ticket required
- Published per-user pricing from $5/user/mo, self-serve
Enterpret vs Supportman pricing, side by side.
Enterpret is custom enterprise pricing, not published; deployments are scoped and quoted through sales. Supportman lists per-user pricing on the site and needs no sales call.
Enterpret
Custom quote
- Model
- Enterprise platform, scoped through sales
- Getting started
- Sales-led onboarding
Supportman
$5–$15 / user / mo
- Model
- Per-user tiers, published (min $25/mo)
- Getting started
- Free trial, no credit card
Enterpret vs Supportman, feature by feature.
Every Supportman dashboard and Slack feature, next to what Enterpret documents publicly. Beta and in-build features are labelled as such; where we couldn't find public documentation, we say so rather than guess.
- Yes
- Partial
- Beta
- In build
- Add-on
- No
- Not documented
| Feature | Enterpret | Supportman |
|---|---|---|
| Key differences | ||
| Category | Cross-customer VoC & theme analytics | Per-customer problem tracking + QA |
| Pricing model | Custom enterprise, not public | Per-user tiers, published |
| Unit of analysis | A theme shared across customers | One customer's one problem |
| Resolution trigger | A linked Jira/Linear issue resolving | Building: inferred from conversation evidence |
| Real-time Slack alerts | Not the focus | Yes, on every rating |
| Built for | Product & insights teams | Support ops, Intercom-native |
| Real-time Slack loop | ||
| CSAT ratings posted to Slack in real time | PartialEscalation Agent flags critical feedback | YesEvery rating, the moment it lands |
| Dedicated channel for bad ratings | Not documented | YesPro |
| Filter alerts by star rating or remark | NoTheme and sentiment alerts instead | YesBy star rating, or only when a remark is left |
| Send a conversation to Slack from the inbox | No | YesIntercom inbox app, to a channel or DM |
| Conversation reminders | No | YesSet from the Intercom inbox |
| AI quality scoring | ||
| AI quality score on every closed conversation | NoVoC analytics, not conversation QA | YesIQS, 0–100 |
| Per-criterion rubric breakdown | No | YesRubric chart on every scored conversation |
| Predicted CSAT for unrated conversations | No | YesCovers the ~90% customers never rate |
| Scores AI-agent and human conversations alike | No | YesFin and humans, same rubric |
| Manual review scorecards & calibration | No | NoNot the focus |
| Coaching workflows | No | PartialPer-agent reports & quality ranking |
| Dashboard & insights | ||
| Team quality dashboard | PartialFeedback dashboards, not QA | YesRated, positive, IQS, needs review |
| Bad-rating review queue | No | Yes1★ and 2★ conversations |
| Quality trends & predicted-vs-actual CSAT | PartialIssues ranked by CSAT and churn risk | YesIQS trend, bad rate, model bias |
| Topic spikes & drift | YesAdaptive taxonomy across all sources | BetaSpiking / drifting / cooling, from Intercom Topics |
| Account health drift | YesContext Graph: accounts, ARR, churn risk | Beta28-day drift per account |
| Daily work queue (unanswered, unhappy, handed off) | No | BetaToday view |
| Conversation explorer with rating & score filters | PartialFeedback explorer by theme & segment | YesDate, rating, remark, AI score |
| Per-agent quality ranking | No | YesRates that survive a thin week |
| Cross-customer voice-of-customer analytics | YesCore product, many sources | PartialTopic trends only |
| Fin & AI agents | ||
| Fin vs human quality comparison | No | YesBad-rating rate, Fin vs human-only |
| Fin conversation audit | No | Beta |
| Independent of the AI agent it measures | Yes | Yes |
| Answers customers (AI agent) | NoDrafts follow-ups for human approval | NoMeasures, doesn’t answer |
| Reporting & workflow | ||
| Weekly team report in Slack | PartialNewsfeed Agent insight digests | YesFriday, before standup |
| Per-agent weekly reports by DM | No | YesIncludes predicted CSAT & IQS |
| Approvals for refunds & exceptions in Slack | No | BetaRequested in Intercom, decided in Slack |
| Manager notes on conversations | No | Beta |
| Closed doesn’t mean resolved | ||
| Tracks one customer’s problem across conversations | PartialClose the Loop, tied to Jira/Linear | In buildProblem Episodes |
| Alerts when a promise to a customer is missed | No | In build |
| Platform, pricing & setup | ||
| Intercom integration | YesNative connector | YesNative, connects in 2 minutes |
| Zendesk, Freshdesk & others | YesZendesk, Front, Kustomer & more | NoIntercom only today |
| Voice / call coverage | YesGong, Chorus, Amazon Connect | No |
| Published pricing | NoCustom quote | Yes$5–$15 / user / mo |
| Self-serve free trial | NoSales-led | YesNo credit card |
| Time to first value | Not documentedSales-led; timeline not published | YesUnder 2 minutes |
Enterpret details come from its public website, docs and pricing pages, checked September 2026. Enterpret website ↗
When Enterpret is the better pick.
If your team is drowning in cross-customer feedback themes and wants to know exactly which customers to re-engage the moment a fix ships, Enterpret's Context Graph and Close the Loop workflows are among the strongest relational models in VoC for doing that well. Supportman is solving an adjacent but different problem: not "which theme is this," but "is this specific customer's specific problem actually over," checked against the conversation itself rather than an engineering ticket.
Enterpret vs Supportman, answered.
Is Supportman a voice-of-customer tool like Enterpret?
No. Enterpret's unit is a feedback theme shared across customers. Supportman's unit (with Problem Episodes, in build) is one customer's one specific problem, tracked across their own conversations.
What does Close the Loop actually detect?
It monitors linked Jira or Linear issues. When one resolves, Enterpret identifies affected users and accounts and drafts a follow-up for human approval. It’s triggered by engineering-ticket status, not by evidence that the customer’s problem is actually gone.
How much does Enterpret cost?
Enterpret does not publish pricing; it’s a custom enterprise platform, quoted through sales. Supportman is public: $5 per user per month for notifications and reports, $15 per user with AI evaluations.
Can I use Supportman and Enterpret together?
Yes — they answer different questions. Enterpret aggregates themes across your whole customer base for product teams. Supportman tracks individual customers’ individual problems for support teams, day to day.
What is a "Problem Episode"?
Supportman's in-build feature that links a customer's conversations about the same underlying issue into one record, classifies the outcome with a verbatim quote from the transcript, and flags it in Slack if it's still unresolved, comes back, or a promise goes unmet.
Is there a free trial?
Yes, for Supportman: connect Intercom and Slack and you’re live in under two minutes, no credit card required.
Leave your details and we'll reach out when you're ready to evaluate.