Ask a founder in Lagos why they restocked a slow moving product, dropped a price, or hired a third salesperson, and you will often hear some version of "I just had a feeling it would work." Instinct built on years of experience is genuinely valuable. But when it becomes the only input into decisions that involve real naira, it quietly bleeds money in ways most business owners never trace back to the original decision.
This piece explains what data driven decision making actually means for a small business, why gut feeling alone fails more often than founders realise, and how to start using simple data without needing a data science team.
What Data Driven Decision Making Actually Means
Data driven decision making is simply the practice of checking a decision against real numbers before committing to it, rather than relying purely on memory, mood, or assumption. It does not require expensive software or a dedicated analyst. A business owner who checks last month's actual sales figures before deciding how much stock to reorder is already doing it. One who reorders based on "it felt like a busy month" is not, even if they happen to be right some of the time.
The distinction matters because gut feeling is shaped by whatever stood out emotionally, the one loud complaining customer, the one great sales day, not by what actually happened across the full picture.
Why Gut Feeling Fails More Often Than You Think
It Remembers Exceptions, Not Averages
Human memory is built to remember standout events. A founder will vividly remember the Saturday the shop was packed and forget the four quiet Saturdays before it. When that one memorable day drives a decision to hire extra weekend staff permanently, the business ends up paying for capacity it does not usually need.
It Cannot See Patterns Across Time
A single month's numbers can look fine while a slow, real decline sits underneath it. Only comparing data across several months reveals whether a dip is a normal seasonal wobble, the kind many Lagos retailers see every January after Detty December spending, or the start of a genuine problem with pricing, product quality, or competition.
It Is Vulnerable to the Loudest Voice in the Room
A single unhappy customer complaint, a competitor's flashy new campaign, or a supplier's confident pitch can shift a decision far more than the underlying numbers justify. Data driven founders still listen to these signals, but they check them against actual figures before reacting.
Real Costs of Instinct Only Decisions
Consider a Port Harcourt retailer who assumes a particular product line is their best seller because it gets the most compliments in the shop, and keeps expanding shelf space for it. A basic sales report might show it actually has the thinnest margin and the slowest turnover of everything they stock, while a quieter, less discussed product is generating most of the actual profit. Without checking the numbers, that founder keeps investing capital and shelf space in the wrong direction, quarter after quarter.
Or consider a service business in Abuja that raises prices based on a feeling that "the market can take it," without checking how many enquiries convert to paying clients at the current price. If conversion drops sharply after the increase, revenue can fall even though the price per client went up, and without tracking the numbers the founder may not notice until cash flow is already tight.
These are not rare, dramatic failures. They are the ordinary, compounding cost of decisions made on feeling rather than evidence, and they rarely announce themselves as a single bad call. They show up months later as a business that is working hard but not growing.
How to Start Making Data Driven Decisions This Month
Track Three Numbers Consistently
You do not need a dashboard to start. Pick three numbers that matter most to your specific business, for a retailer that might be daily sales, best selling product, and repeat customer rate, and record them consistently, even in a simple notebook or spreadsheet. Consistency matters more than sophistication.
Compare Periods, Not Just Totals
A single week's total tells you very little. Compare this week against the same week last month, and this month against the same month last year if you have the history. Growth or decline only becomes meaningful in comparison.
Separate Revenue From Profit
Many founders track sales closely but not the cost of goods, delivery, or payment gateway fees eating into that revenue. A product that looks like a strong seller can be barely profitable once Paystack fees, delivery cost, and returns are accounted for. Review this at least monthly.
Use What You Already Have
If you use Paystack, Flutterwave, or Moniepoint, you already have transaction data sitting in your dashboard. Most of these platforms offer basic reporting on sales trends and repeat customers at no extra cost. Check it monthly instead of only when something feels wrong.
Set a Simple Rule Before You Decide
Before a significant decision, restocking a large order, hiring, changing a price, write down what number would need to be true to justify it. Then check whether the actual data supports that number before committing. This single habit catches a surprising number of decisions that instinct alone would have waved through.
Where Instinct Still Matters
None of this means ignore your experience. A founder who has run a business for ten years has pattern recognition that raw numbers alone cannot capture, spotting a shift in customer mood, sensing a supplier relationship going wrong before it shows in the data. The strongest decisions combine both: instinct to notice something is worth investigating, and data to confirm whether that instinct is actually correct before you spend money acting on it.
The Bottom Line
Nigerian entrepreneurs operate with real constraints, thin margins, forex volatility, unreliable power, and gut feeling has understandably filled the gap where formal data tools once felt out of reach. That gap is closing fast. Free reporting inside the payment tools you already use, a simple spreadsheet, and a consistent monthly review habit are enough to start making decisions that are backed by evidence rather than memory. The businesses that build this habit early tend to catch problems months before instinct alone would have noticed them.
