Picking your first BI tool as a 10-person startup
At ten people the spreadsheet that runs the company starts to crack. Four questions decide which BI tool fits: engineering time, where your data lives, who needs answers, and budget. Here is how to answer them.
Somewhere around ten people, the spreadsheet that runs the company starts to crack. The founders ask different questions from the person running marketing. Someone reconciles Stripe against the accounting export every month by hand. An engineer has built two dashboards in two different places, and nobody else knows how to change them. This is usually when a BI tool comes up.
The choice at this size is less about features than about fit. Four questions settle most of it.
Four questions that decide it
1. How much engineering time you can give it
Be honest about the number of hours. If the answer is "none", rule out anything that needs you to host a server, build a data warehouse or maintain a modeling layer. If you have an engineer who wants the job and has a few days a month for it, those options come back into play.
Self-hosted open-source tools such as Metabase cost nothing in licences but need someone to run the server, upgrades and backups. That is a fair trade for a technical team and a poor one for a team without spare engineering time.
2. Where your data lives
Write down the five or six systems that hold the numbers you argue about. For most ten-person companies the list looks like this: Stripe or another payment processor, a CRM such as HubSpot or Pipedrive, Google Analytics, one or two ad accounts, a project tool and a few spreadsheets.
- Mostly SaaS tools and sheets. Pick a tool that connects to those tools directly, without a warehouse in between. clariBI is built for this case.
- Mostly Excel and the Microsoft stack. Power BI fits that shape well, especially if people already live in Excel and Teams.
- Already in a warehouse such as BigQuery or Snowflake, with someone who owns it. Tools built around a modeling layer on top of the warehouse, such as Looker, or strong visual analysis tools such as Tableau, become reasonable.
3. Who needs to use it
If only engineers and an analyst will use it, a SQL-first tool is fine. If founders, sales and marketing need to answer their own questions, look for a tool where a non-technical person can get a correct answer without writing a query. That can mean good pre-built dashboards, plain-English questions, or both. Test it with the least technical person who will actually use it, not with the engineer who is evaluating it.
4. What you can spend
At this size, every dollar on BI is a dollar not spent on customers. Look at the total cost: licences, the hours someone spends running it, and the hours spent waiting for answers. A free tool that takes an engineer two days a month is not free. For reference, clariBI's paid plans start at $19 a month (Lite, one user, dashboards you build yourself), and Starter at $99 a month adds AI questions, reports and forecasting for 3 users; the pricing page has the details. Other vendors price per user or per capacity, and their current prices are on their own pages.
What to optimize for at ten people
- Time to the first correct answer. If nobody gets a useful number in the first week, the tool will be quietly dropped. Judge each option by how quickly your own data gives you an answer you can check.
- Connections to the tools you already use. Your data is not in a warehouse yet. It is spread across a dozen SaaS tools. A BI tool that assumes you have done the plumbing first is the wrong tool for now.
- Low upkeep. You probably do not have an analyst and may not hire one for a year. The tool has to keep running without one.
- An honest price for the next 18 months. Check what happens when you add three people or five data sources, not only what the first month costs.
Where clariBI fits, and where it does not
We build clariBI, so read this with that in mind. It is aimed at exactly this stage: connect Stripe, HubSpot, Google Analytics and the ad accounts directly, get a dashboard for each source without doing anything, and ask questions in plain English across them. The answers are calculated with code over your synced rows; the AI plans the calculation and writes the summary. There is no warehouse to build and no server to run.
It is not the best choice everywhere. If your team lives in Excel and the Microsoft stack, Power BI will feel more natural. If you have an engineer who enjoys SQL and wants full control at no licence cost, self-hosted Metabase is a good option. If you already run a warehouse with a data team, the warehouse-first tools are built for that. Our comparison pages go through these one at a time, and clariBI vs. Metabase is a good one to read if you are weighing an open-source tool.
A few limits to know before you try it: Free and Lite include no AI credits, the trial and Free plan allow 3 data sources, and Starter includes 3 users. There is no direct QuickBooks or Xero connector, so accounting data comes in as an export.
What to skip until you are closer to 50 people
- A data warehouse. Until you have data volumes or a number of sources that make direct connections painful, a warehouse is mostly setup and upkeep. The post on data warehouses and when you need one has the signs to watch for.
- A semantic layer. Defining every metric in a modeling language pays off with many analysts and many consumers. With one part-time owner, you will spend more time maintaining it than using it.
- A dedicated analyst hire. Wait until the tool has shown you which questions keep coming up. Then you know what the job is.
- Enterprise tooling. Tableau and Looker are strong products at scale. At ten people they are usually more tool than you can keep busy.
When you do get closer to 50, evaluating BI tools for a 50-person company picks up where this post stops.
A one-week test
Whatever you shortlist, run the same test on each:
- Connect the one source you check most, usually Stripe or your CRM.
- Ask three questions you already know the answers to, such as last month's revenue, new customers last month and the biggest deal closed this quarter.
- Check each answer against the source system.
- Ask the least technical person on the team to repeat step 2 without help.
If you want to run that test on clariBI, the trial lasts 14 days, needs no card and includes 50 AI credits. The help article on creating your account and completing onboarding walks through the first steps.