Compass
Compass by Dagster Labs answers business questions in Slack and Microsoft Teams with governed, data-team-approved context.
Compass is the rare self-serve analytics tool that treats the data team as a customer rather than an obstacle — the context approval loop is the actual product, and it's what stops bad metric definitions from spreading quietly for six months. Pick it if your org already works in Slack or Teams and your bottleneck is the analyst queue, not dashboard count. Pass if your reporting needs real-time streams, embedded customer-facing views, or heavy multi-join exploration.
Verified 4d ago · liveness 72/100 · cite: rightaichoice.com/tools/compass
- Product teams self-serving activation, retention, and experiment questions in Slack
- Growth and marketing teams checking campaign and funnel performance without an analyst queue
- Revenue leaders pulling pipeline and account metrics into shared channels
- Customer success teams tracking account health and adoption in Microsoft Teams
- Products that need analytics embedded in their own app or customer-facing dashboards
- Teams whose reporting depends on real-time streaming data — Compass works in batch
- Analysts running complex multi-step or join-heavy queries as their main workload
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Skip Compass if you need analytics embedded in your own product, reporting on streaming data, or join-heavy analysis — it answers in Slack and Teams, in batch, and nothing else.
Compass meters usage by answers per month, not seats, so a busy channel can burn through a plan's allowance faster than a per-head tool would.
Free covers a single channel with 20 answers a month, which suits one team testing whether Slack-native answers fit how they work. Team at $499/mo raises that to 125 answers across 3 channels with overage controls and the context review loop — sensible for a mid-size product, growth, or revenue org running a handful of question-heavy channels. Because plans are priced by answers and channels with unlimited users, the economics improve as headcount grows and worsen as question volume grows.
In short
Compass — Compass by Dagster Labs answers business questions in Slack and Microsoft Teams with governed, data-team-approved context. Best for Product teams self-serving activation, retention, and experiment questions in Slack, Growth and marketing teams checking campaign and funnel performance without an analyst queue, Revenue leaders pulling pipeline and account metrics into shared channels. Free to start; paid plans from $499/mo.
What people actually say about Compass — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
67 mentions across 4 sources (Hacker News, Product Hunt, App Store, Lemmy) · researched Jul 3, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Product Hunt launch had 117 upvotes, indicating initial interest.
- +Free version available, lowering barrier to entry.
- +Beautiful dashboard praised in Product Hunt comments.
- +Founder's passion and focus noted by a user.
- +Product ambitiously compares biz metrics automatically.
- −No independent user reviews for the actual AI data analyst.
- −Critically, community recognition is absent across all major platforms.
- −User confused pricing model and potential data sale concerns.
- −Name collision with other products causes confusion.
- −No evidence of GitOps governance in community feedback.
- • Exact pricing not disclosed; overage charges for extra answers/channels may apply.
- • Potential data monetization if free tier is subsidized by data sales.
Viability Score
How well maintained and how widely used is Compass? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Ask business questions in plain language inside Slack or Microsoft Teams
- One answer path across Slack and Microsoft Teams
- Connect a data warehouse, upload a CSV, or sync SaaS tools for context
- Compass learns your schema and metrics, with setup the vendor puts at about 10 minutes
- Learn metrics, definitions, business logic, and examples over time
- Review, approve, or reject newly learned context before it takes effect
- Compass does not silently remember everything it is told
- Monitor answer quality and review question history
- Every answer is multiplayer by default with inline follow-ups in the thread
- Schedule recurring answers into a channel
- Built-in prospecting data from public datasets
- Use overage and usage controls to govern consumption
- No training or onboarding required for end users
- Leaders get visibility into how data is being used across teams
About Compass
Compass is Dagster Labs' conversational analytics agent for Slack and Microsoft Teams. Connect a warehouse, upload a CSV, or sync SaaS tools that add context — the vendor puts setup at about 10 minutes — and Compass learns your schema and metrics. From there, anyone can @compass in a channel with a plain-language question and get an answer in the same thread, with one answer path across both Slack and Microsoft Teams. The product is split between two audiences on purpose. Business users — product, growth, revenue, customer success — stop queuing behind an analyst for activation, retention, campaign, pipeline, and account questions. Data teams keep the controls: Compass learns metrics, definitions, business logic, and examples over time, but the vendor states it does not silently remember everything it is told, and data teams can review, approve, or reject new context and monitor answer quality as knowledge changes. Multiplayer is the default. Every answer lands in a shared thread where teammates follow up inline, leaders see how data is being used, and the data team can spot where the business keeps needing help — which is also where the vendor's claim of 10+ hours saved per analyst per week comes from. Built-in public prospecting datasets are available for enrichment beyond your warehouse, and recurring questions can be scheduled into a channel rather than re-asked. Against text-to-SQL tools, the difference is the review loop rather than the chat interface. Against Metabase or Looker, Compass trades visual exploration for conversational answers in the apps people already have open. It works in batch rather than on streaming data, and it is not built for complex join-heavy analysis or embedded, customer-facing analytics.
Behind the Verdict
Where Compass earns its keep is the interrupt problem. If your data team spends its week answering variations of the same activation or pipeline question, routing those into a shared channel with visible threads is a straightforward trade: less ticket triage, more of the 10+ hours per analyst per week the vendor claims back. The GitOps-style review loop is the part we'd actually pay for — new context gets approved or rejected instead of absorbed silently, which means definitions stay owned by the people who should own them. We'd reach for it when the org already lives in Slack or Microsoft Teams and the questions are recurring and business-shaped: activation after an onboarding change, campaign performance by segment, account health. Setup is the low-friction part, and the vendor says no training or onboarding deck is needed for end users, which matches how the product is positioned. Where it bites: answers arrive in-channel, not as explorable charts, so anyone who thinks by clicking through a dashboard will feel boxed in. It runs in batch, so streaming or near-real-time reporting is out of scope. Complex multi-step or join-heavy analysis still belongs to an analyst with SQL, and embedded customer-facing analytics isn't the job here. The closest alternative is a warehouse-native BI layer like Metabase or Looker if visual exploration is the requirement, or a text-to-SQL assistant if you want speed without a governance story. Compass is the one to choose when governance is the reason you haven't rolled out self-serve yet. Usage caveat worth noting: pricing scales by answers and channels rather than seats, so a handful of loud channels can move your bill more than headcount does — keep an eye on the overage controls.
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Real-world workflow fit
Concrete scenarios for the personas Compass actually fits — and what changes day-one when you adopt it.
You ship a new onboarding flow and want to know whether activation moved before the weekly review. You type @compass in your product channel asking how activation changed since the launch, and follow up inline asking for the same number split by plan tier.
Outcome: You walk into the review with the number and the segment breakdown already in the thread, and no analyst ticket changed hands.
Campaign ROI by segment used to mean a dashboard you didn't trust or a request to the data team. You ask Compass in your growth channel for campaign ROI by segment, then schedule that answer to post on a recurring cadence.
Outcome: The metric shows up in the channel on its own schedule, and the data team never fielded the request.
Compass proposes a new definition for 'active account' after seeing it used in a thread. You review the learned context, check the question history to see who is asking what, and either approve the definition or reject it with a correction.
Outcome: The business gets answers faster while your team keeps veto power over what the agent treats as true — and the question log tells you what to build next.
Use Cases
- Ask @compass in Slack how activation changed after a new onboarding flow launched
- Get campaign ROI by segment without writing SQL or waiting for an analyst
- Pull pipeline metrics and account health scores into revenue team channels
- Let product managers self-serve feature adoption and experiment results daily
- Reduce data team interrupt tickets by enabling governed Q&A in shared channels
- Schedule recurring KPI answers to land in a channel on a set cadence
- Give the data team a review queue for the context Compass learns from the business
- Onboard a non-technical teammate to pull segment metrics with no training session
Limitations
- Compass is deliberately scoped, and the edges are worth knowing before you buy.
- It lives inside Slack and Microsoft Teams — if your org can't standardize on one of those as the analytics front door, the product has no surface to run on.
- It answers in batch, so streaming or real-time operational monitoring is out of scope, and it isn't built for complex, join-heavy, multi-step analysis; that work still belongs to an analyst.
- You also can't embed Compass in your own product or hand it to your customers.
- Usage is metered by answers and channels rather than seats, which is generous on users but means heavy question volume is the cost driver.
- Finally, the governance loop is a feature and a responsibility: Compass does not silently remember everything it is told, so someone on the data team has to actually review the queue of approved or rejected context for the controls to mean anything.
as of 2026-10-03
Verification history
We have re-verified Compass 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Compass tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A single product, growth, or revenue team testing whether Slack-native answers replace their dashboard habit before spending anything.
What this tier adds
Starting tier: 20 answers a month, 1 channel, unlimited users, warehouse/CSV/public-dataset connections, and bonus answers via invites.
Team
$499/mo
Ideal for
A mid-size org running question-heavy channels across product, growth, and revenue that needs the data team to govern what Compass learns.
What this tier adds
Adds 125 answers a month, 3 channels, multiplayer answer threads with inline follow-ups, the context review loop, and overage controls.
Where the pricing makes sense
The company stage and team size where Compass's pricing actually pencils out — and where peers do it cheaper.
Free covers a single channel with 20 answers a month, which suits one team testing whether Slack-native answers fit how they work. Team at $499/mo raises that to 125 answers across 3 channels with overage controls and the context review loop — sensible for a mid-size product, growth, or revenue org running a handful of question-heavy channels. Because plans are priced by answers and channels with unlimited users, the economics improve as headcount grows and worsen as question volume grows.
Setup time & first value
How long it actually takes to get something useful out of Compass — broken out by persona, not the marketing-page minute.
The vendor says setup runs about 10 minutes: connect a warehouse, upload a CSV, or sync SaaS tools, and Compass learns your schema. End users need no training — they just @compass in a channel. The real time investment sits with the data team afterwards, working the queue where Compass proposes learned context for approval or rejection.
Switching to or from Compass
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From an analyst ticket queue: point Compass at your existing warehouse and let recurring questions move into channels
- →From manual CSV reporting: upload the CSVs as a data source so the same numbers answer questions in-thread
- →From dashboard-only reporting: keep the warehouse as the source of truth and answer the ad hoc questions dashboards never covered
- ↗To Metabase or Looker: rebuild key metrics as governed models when you need visual exploration rather than in-channel answers
- ↗To a text-to-SQL analyst tool: keep your warehouse and definitions, and move ad hoc querying back to the data team
- ↗To your own embedded analytics stack: required if the numbers must live inside your product or reach your customers
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Compass”, and we withheld 6: 6 could not be judged, because “Compass” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Compass.
Official links
Tools that pair well with Compass
Common stack mates teams adopt alongside Compass, with the specific reason each pairing earns its keep.
BlazeSQL
BlazeSQL is an AI data analyst that answers plain-English questions directly against your SQL database.
Cube
Agentic FP&A platform with AI agents and Trace to Truth auditing that syncs governed numbers into Excel, Sheets, Slack and Teams.
Julius AI
Julius AI turns plain-English questions about a CSV or Excel file into charts, statistical tests, and regression models — no Python required.
Featured Head-to-Head Comparisons
Compass vs Nectar Energy
Choose Nectar Energy if your priority is automating HVAC and lighting in commercial buildings to slash energy costs and meet ESG targets — its new ESG reporting module (May 2026) directly addresses compliance. Choose Compass if your team lives in Slack/Teams and needs self-serve analytics from data warehouses with strong governance — it's free to start and requires no training.
Compass vs Geologicai
GeologicAI and Compass serve entirely different domains: GeologicAI is a heavy-duty mining platform for rapid core scanning and modeling, ideal for large critical minerals projects needing sub-48-hour turnaround and integrated LIBS sensors. Compass, on the other hand, is a lightweight, self-service analytics bot for business teams in Slack/Teams, emphasizing governance via GitOps. Choose GeologicAI if you're in mining; choose Compass for democratized data access in SaaS companies.
Compass vs Screenplayiq
Compass and ScreenplayIQ serve completely different domains: Compass is an AI data assistant for business teams in Slack/Teams with GitOps governance, while ScreenplayIQ is a niche tool for film industry professionals predicting box office returns from script analysis. Choose Compass if you need self-serve analytics governed by data teams; choose ScreenplayIQ if you're a screenwriter or producer seeking data-driven script marketability insights.
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