Dashboards
One Screen That Tells You How the Business Is Doing
The numbers usually exist already - in the CRM, the accounting system, the ad platforms and three spreadsheets. What is missing is one place that pulls them together on a schedule and shows the handful that actually change a decision. I build that, and I keep it to the handful.
Key takeaways
- A dashboard with thirty numbers gets ignored. Four that someone acts on beats thirty nobody reads.
- Decide the refresh schedule per metric. Live is expensive and rarely what a weekly decision needs.
- Every number should be traceable back to its source row, or nobody will trust it the first time it looks wrong.
- A scheduled report that lands in your inbox usually beats a dashboard you have to remember to open.
What I build
- Pulling data from your CRM, accounting, ad platforms and databases
- A small set of metrics chosen because a decision depends on them
- Scheduled email or WhatsApp reports, not just a screen
- Drill-down from any number to the rows behind it
- Role-based views so each person sees their own scope
- Alerting when a metric crosses a threshold you set
Projects I built
How it works
A short scoping call
What hurts today, what you already use, and what "done" looks like.
A written fixed-price quote
Scope, price and timeline in writing, approved before any work starts.
Built in stages, on your real data
You see a working first version early, not a demo at the end.
Handover with documentation and monitoring
You own the code and the data, and a support window follows launch.
Working with me from the US or Europe
- Most of my client work is for companies in the US, UK, Germany, the Netherlands and Australia.
- Calls are in English and scheduled in your time zone. My working day covers most of the European one and the US East Coast morning.
- A fixed price in US dollars, agreed in writing before any work starts.
- Pay me directly, or hire me through Upwork if you prefer to work through a platform.
- You own the code and the data, with documentation and a support window after launch.
Guides on this
Practical guides from real client work.
Custom Software vs Off-the-Shelf: When a Small Business Needs a Custom System
Custom software vs off-the-shelf is rarely about features. I break down when SaaS is right, when you have outgrown it, and a clear build vs buy framework.
From Idea to MVP: How to Build an MVP (And What It Costs)
A practical guide to how to build an MVP: scoping must-haves vs later, realistic MVP development cost and timeline, and how AI now ships your idea in weeks.
Hiring a Developer to Build Your MVP: Freelancer vs Agency vs In-House
Hiring a developer to build your MVP? A practical comparison of freelancer vs agency vs in-house on cost, speed, risk, and control, plus red flags and how to structure the deal.
Signs Your Business Has Outgrown Spreadsheets (Time for a Custom App)
Has your business outgrown spreadsheets? The concrete signs it is time to replace spreadsheets with a custom app, the real cost and timeline to build one, and how AI made it affordable.
No-Code vs Custom Code for Building Your App or MVP
No-code vs custom code for apps: what each is good at, real cost and speed early vs total cost of ownership, the no-code ceiling and lock-in, and when to pick which.
How to Validate Your Idea Before You Build It
How to validate a startup idea before building: why validation saves money, talking to real customers, the smoke test, pre-sales, a manual concierge version, and the signals that justify building.
What Is an MVP, Really? Common Mistakes Founders Make
What is an MVP, really? A clear definition of minimum viable product, what an MVP is not, good vs bad examples, and the most common mistakes founders make.
How to Choose the Right Tech Stack for Your MVP
How to choose a tech stack for your MVP without overthinking it: the principles that matter, a sensible default stack, when to deviate, and what not to optimize for too early.
Is Vibe Coding Production-Ready? A Developer's Honest Take
Is vibe coding production-ready? An honest developer's take on what vibe coding is great at, where it breaks, and a prototype-vs-production checklist.
Frequently asked questions
Why not Power BI or Looker Studio?
Often you should. They are excellent when your data already sits somewhere they can read and the questions are standard. Custom wins when the data needs real transformation first, when the source has no connector, or when the dashboard has to be part of a system your team is already inside.
How current will the numbers be?
Per metric, by choice. Live where it changes a same-day decision, hourly or nightly where it does not. Refreshing everything constantly costs money in API calls and rarely improves a single decision.
What if our data is messy?
It usually is, and that is most of the work. Inconsistent names, duplicate records and missing dates get cleaned in the pipeline rather than in the source, so the dashboard is honest without anyone having to fix history first.
Sources
Official documentation you can verify the claims on this page against.
Let us scope your project
Tell me what you need and I will give you an honest scope, price, and timeline.