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How does your law firm track collections?A. Software reports B. Rebuilt spreadsheets C. Accountant updates D. No clea...
10/15/2026

How does your law firm track collections?

A. Software reports
B. Rebuilt spreadsheets
C. Accountant updates
D. No clear view yet

Tell us which one sounds familiar. If reviewing unpaid invoices means pulling information from several places, a clearer receivables view could make the next conversation easier.

Clear Numbers! Better Decisions!

For US law firms with $2M–$20M in annual revenue. Request a 20-minute walkthrough: https://docs.google.com/forms/d/e/1FAIpQLSee3GlrXDA1E-JNUxNfAk8s1h2KalJssTQDyhdsjVr85pQYcg/viewform

10/15/2026

Your WBR should follow a simple framework:

1. What happened?
2. Why did it happen?
3. What are we going to do about it?

10/12/2026

Comment “scroll” and we’ll DM you 49 Hook Ideas to Stop The Scroll and Grow Your Following!

ClearSquare is here to help you scale your data agency.

Walkthrough, not a demo. Swipe through all 7 slides to see exactly what happens in a 20-minute walkthrough - no jargon, ...
09/23/2026

Walkthrough, not a demo. Swipe through all 7 slides to see exactly what happens in a 20-minute walkthrough - no jargon, no 40 features you'll never use, and nobody sends you a proposal on the call.

Best fit if you're doing $2M-$20M a year and tired of rebuilding the same spreadsheet every month. If that's not you, no hard feelings - this'll save you the click.

Book your 20 minutes: https://docs.google.com/forms/d/e/1FAIpQLSee3GlrXDA1E-JNUxNfAk8s1h2KalJssTQDyhdsjVr85pQYcg/viewform

Most firms can tell you what they billed. Fewer can tell you which practice area actually made money once you factor in ...
09/22/2026

Most firms can tell you what they billed. Fewer can tell you which practice area actually made money once you factor in the hours it took to get there. In this example, Real Estate had one standout month while Client Services stayed flat and steady — the kind of gap that should change your next hiring or marketing decision, not just sit in a spreadsheet nobody reopens. Dashboard example — your numbers will look different, that's the point.

Request a walkthrough: https://docs.google.com/forms/d/e/1FAIpQLSee3GlrXDA1E-JNUxNfAk8s1h2KalJssTQDyhdsjVr85pQYcg/viewform

Every firm knows its billings. Fewer can tell you what's actually been collected.In this example, $143,000 is sitting mo...
09/21/2026

Every firm knows its billings. Fewer can tell you what's actually been collected.

In this example, $143,000 is sitting more than 90 days out. Not written off. Not chased. Just quietly ageing while everyone assumes someone else is on it.

One screen. Every invoice, sorted by how long it's been waiting.

What's the oldest invoice on your books right now? 👇

Want to see what yours looks like on one screen? Request a 20-minute walkthrough (no pitch):
https://docs.google.com/forms/d/e/1FAIpQLSee3GlrXDA1E-JNUxNfAk8s1h2KalJssTQDyhdsjVr85pQYcg/viewform

09/02/2026

Have you ever been in a meeting where two people are looking at completely different numbers for the same metric?

"Our revenue was $1.2M last month."

"That's weird. I'm seeing $1.4M."

"Where did you get $1.4M?"

"Our spreadsheet."

"Well, that's not what the dashboard says."

We've seen this happen enough times to realize that the biggest reporting problem usually isn't the dashboard. It's the data behind it.

Maybe the sales team defines a "new customer" differently than the marketing team. Maybe there are three different spreadsheets tracking the same information. Maybe someone manually exports data from one system and uploads it into another. Maybe the finance team's definition of "revenue" isn't the same as the definition being used in the executive dashboard.

None of these problems are particularly exciting, but they can completely destroy people's trust in your reporting. And once people stop trusting the numbers, they stop using them.

They'll start keeping their own spreadsheets "just in case." Then someone else creates another spreadsheet. Eventually, you have five different versions of the truth sitting in five different places, and nobody is quite sure which one they should be using.

At that point, building a prettier dashboard isn't going to solve the problem. You need to figure out why everyone is getting different answers in the first place.

We think this is one of the most overlooked parts of building a good reporting system. It's easy to focus on what the dashboard looks like, which charts you should include, or how often the data should refresh. But none of that matters very much if the underlying data isn't consistent and everyone has a different understanding of what the numbers actually mean.

Good reporting isn't just about making data look nice. It's about making sure everyone can look at the same number and agree on what it means.

Because the goal of a dashboard isn't to start a conversation about whether the data is correct. The goal is to start a conversation about what you're going to do about it.

Bob’s on vacation, and suddenly nobody knows how the business is performing.We’ve seen this more times than we’d like to...
08/31/2026

Bob’s on vacation, and suddenly nobody knows how the business is performing.

We’ve seen this more times than we’d like to admit.

A critical business report lives inside a massive spreadsheet that only one person knows how to update.

14 tabs.
37 formulas.
Multiple versions.
And absolutely no documentation.

The spreadsheet itself isn’t necessarily the problem.

The problem is when critical business knowledge lives inside one person’s head.

As your business grows, your reporting should become more scalable — not more dependent on the person who originally built the spreadsheet.

Your data should be:

→ Centralized
→ Automated
→ Documented
→ Accessible to the people who need it

Because if Bob quitting tomorrow would bring your reporting to a complete stop…

you don’t have a spreadsheet problem. You have a data problem.

08/24/2026

Your biggest customer might actually be your worst customer.

We recently worked through a scenario with a B2B technology company that wanted to understand whether all of their customers were actually profitable.

At first, everything looked fine. Leadership was ranking customers by revenue, so their largest accounts were naturally considered their most valuable.

But once we connected **CRM, billing, and time-tracking data**, we found something very different.

One of their largest customers was generating $9,500/month in revenue — but consuming more than $10,000/month in resources.

They weren’t a great customer.

They were actually costing the company money.

This is why revenue alone isn’t enough to measure customer value.

A better analysis looks at:

→ Revenue
→ Service hours
→ Support costs
→ Gross profit
→ Profit margin

Sometimes the customer spending the most isn’t the customer making you the most money.

What business question would you love to answer with your data? Drop it in the comments. 👇

06/17/2026

POV: you spend 3 weeks building a dashboard and your manager still doesn’t have the answers they need.

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