Most businesses either track too little or too much. Track too little and you're flying blind. Track too much and you drown in dashboards nobody looks at. The first question isn't "what can we measure?" — it's "what decisions are we trying to make?"

The track-everything trap

Modern analytics tools can measure almost anything. Page views, click-through rates, session duration, scroll depth, bounce rate, conversion rate by device by geography by time of day. The data is there.

But having the data isn't the same as using it. We've seen businesses with hundreds of tracked metrics where nobody can name the five that actually matter.

Data that actually drives decisions

Good metrics have three properties:

  1. Actionable: If the number changes, you know what to do about it.
  2. Understandable: The people who need to act on it can explain what it means.
  3. Timely: You see it soon enough to actually respond.

For most businesses, the essential data falls into a few categories:

  • Revenue indicators: Sales pipeline, conversion rates, average deal size, revenue per customer
  • Customer health: Retention rate, support ticket volume, satisfaction scores
  • Operational efficiency: Time to deliver, error rates, cost per unit of output
  • Financial health: Cash flow, burn rate, accounts receivable age, gross margin

That's it. Those four categories cover the decisions that most businesses actually make week to week.

Where to start

  1. List your top five decisions: What do you decide on weekly? Staffing, pricing, inventory, marketing spend, sales focus? Start there.
  2. Identify the data behind each: For each decision, what data would help you make it better?
  3. Check if you have it: Is that data currently available? If not, can you start collecting it?
  4. Build one dashboard: Put the most important metrics on a single screen. Review it weekly.
  5. Add slowly: Only add new metrics when you have a specific reason — a new decision that needs data support.

Tracking less, but tracking the right things, beats tracking everything. Start decision-first, not data-first.

Kasun Wijayamanna Founder & Lead Developer Postgraduate Researcher (AI & RAG), Curtin University - Western Australia
Data StrategyBusiness IntelligenceBusiness Owners