How Early-Stage Startups Make Decisions

The Dilemma of Ambiguity …

There is an uncomfortable truth about running an early-stage technology startup: you rarely have all the information you need before making an important decision.

The product may still be evolving. Product-market fit may be emerging rather than proven. The target market may not yet be fully understood. Customer behaviour is still being learned. Sales cycles are unpredictable. Pricing may be experimental. Marketing channels have not been properly tested. Competitors are changing their strategies.

And yet decisions must be made, such as:

• Do we invest in marketing or sales?
• Do we target this market or another?
• Do we build another feature?
• Do we hire another salesperson?
• Do we enter the US?
• Do we change the pricing?
• Do we pursue this major prospect even though it doesn’t fit our ICP or business model? (If you must ask yourself this last question, you already failed).

There may be no dataset that can provide a definitive answer, nor any historical benchmark. There may be no previous experience inside the company. So, what do you do? You make a decision. That is one of the defining characteristics of startup leadership.

Risk is Not Always Measurable

Risk is something you can potentially quantify. If you have a 10% chance of something happening, you can incorporate that probability into a decision. Ambiguity is different; you don’t know whether the probability is 10%, 50% or 90%; you don’t have enough information. As Professor Thomas Åstebro of HEC Paris puts it, “Most entrepreneurs operate under ambiguity, not measurable risk.” In other words, the probabilities required to make a conventional, data-informed decision aren’t known. That distinction matters. This is why expecting an early-stage startup to operate like a mature enterprise is unrealistic. There isn’t enough history.

The Data Comes Later

One of the great misconceptions about startups is that they should wait until they have sufficient information before making important decisions. On the surface, that sounds sensible, but it isn’t. The problem is that the information you need is created by the decisions you make. Take marketing for example, a startup may not know whether LinkedIn, events, content marketing, outbound campaigns or partnerships will produce the best results. It could spend six months researching the options or it could test them.

Startups must run campaigns, talk to prospects, measure response, learn and adjust. Then run another campaign, because the data only emerges from the activity. The same principle applies to product development, pricing, sales, customer segmentation and almost every other function. You cannot build a bank of experience without experiencing something, and you cannot create meaningful data without doing something that generates data. You will never learn what works by permanently standing still.

Experience is Valuable

If your startup doesn’t have the data, it needs to find another source of informed judgement. That source is often professional experience, and hiring experienced people is one of the most powerful shortcuts available to an early-stage company. Experienced executives have already encountered many of the situations that the startup is experiencing for the first time, for example:

• A seasoned CMO may recognise a flawed go-to-market strategy before the startup has spent six months proving it doesn’t work.

• An experienced sales leader may recognise that a promising pipeline is full of poorly qualified opportunities.

• An experienced CFO may see that a seemingly attractive investment will create a cash-flow problem six months from now.

• An experienced CTO may recognise that an apparently simple architectural decision will create enormous technical debt later.

Experience does not eliminate uncertainty, but it does improve judgement within uncertainty. Research into entrepreneurial judgement supports this idea. A study published in the Strategic Entrepreneurship Journal found that as entrepreneurs accumulate venture-specific experience, their judgement becomes more selective and their conviction in those judgments increases. In other words, experience creates a mental database, as the experienced leader has seen patterns before. They may not have the perfect answer, but they have a better understanding of what is likely to go wrong. That can be extraordinarily valuable.

Don’t Confuse Gut Instinct With Recklessness

There is an important distinction to make. Startup decision-making should not mean:

• “I have no real strategy, so I’ll just react to what the competition is doing.”

That isn’t leadership, but it does sound a lot like gambling.

There is a huge difference between making a decision using informed judgement and making a knee-jerk decision based on emotion, ego or impatience.

An experienced leader might say:

• “We don’t have enough data to prove this will work, but based on what we know about the market, our customers, our economics and similar situations I’ve encountered before, I believe this is the strongest option. Let’s test it and establish what we need to learn.”

An inexperienced founder might say:

• “I like this idea. Let’s do it.”

Those two decisions may look identical from the outside, but they are not. One is a reasoned decision under ambiguous conditions, and the other is a reaction.

Founders Need People Who Will Challenge Them

This is why the composition of the leadership team is so important. Founders are naturally passionate about their technology and their company. That passion is one of the reasons they started the business in the first place, but passion can become dangerous when it turns into unvalidated certainty.

Watch out for these founder behaviours:

• A founder who believes their idea is brilliant can easily dismiss uncomfortable evidence.

• A founder who believes a particular market is the right market may ignore warnings from sales.

• A founder who wants to launch a product may become frustrated when the CTO says it isn’t ready.

• A founder who believes the business needs more salespeople may become irritated when the CFO argues that the economics don’t support the investment.

This is precisely why strong leadership teams need healthy disagreement. The objective isn’t to create conflict, but, through discussion and debate it’s possible to improve the quality of a decision.

The best leadership teams should be able to say:

• “I disagree, and here’s why…”

A true leadership team must be able to challenge assumptions, ask difficult questions and explain why a particular option might be dangerous. Once the decision has been made, they must be able to execute it collectively and hold each other accountable.

Your Strategy is the Guardrail

There is one important caveat to decision-making under uncertainty: not every option is acceptable. A startup may not know exactly how it will achieve its vision, but it must know what that vision is. The company’s purpose, strategic objectives, positioning and agreed priorities provide the framework within which decisions will be made. Step outside this, and that’s when problems begin.

Imagine a startup whose strategy is to become the leading specialist platform for mid-market manufacturing companies. An opportunity arrives to build a bespoke solution for a large financial services organisation. The revenue looks attractive, the blue-chip customer is prestigious, and the deal could transform the company’s short-term numbers. However, it would require significant product development that would divert engineering resources, create a new set of compliance requirements and move the business away from its defined market.

That is where leadership needs to ask: Does this decision take us closer to our strategy or further away from it? The opportunity may still be worth pursuing, but if it fundamentally compromises the company’s agreed direction, someone needs to challenge it. The more attractive the distraction, the more important that challenge becomes.

Making No Decision is Also a Decision

One of the biggest problems in startup environments is often decision paralysis. People become frightened of making the wrong call, so they ask for more research, more time, more analysis, another presentation, schedule another meeting, then another forecast. Eventually, the opportunity has passed. This is particularly dangerous in dynamic markets that move quickly. Sometimes a less-than-perfect decision is better than no decision at all. Why? This is because a decision creates movement and action. Activity creates output that generates information. Information improves the next decision.

Startups move through a cycle:

• Decide → Act → Measure → Learn → Adapt → Decide again.

That is how uncertainty gradually becomes knowledge.

The alternative is:

• Analyse → Debate → Delay → Analyse again.

With this alternative, the business remains exactly where it was, but the market continues moving without it.

Early Decisions Create Your Company’s Knowledge Bank

Over time, every department accumulates its own bank of knowledge, for example:

• Marketing learns which messages resonate.
• Sales learns which prospects convert.
• Product learns which features customers really value.
• Finance learns the economics of different customer segments.
• Operations learns where processes break down.
• Customer success learns what drives retention.
• Technology learns which architectural decisions support scale, and which create problems.

This accumulated knowledge becomes one of the company’s most valuable assets, as it allows future decisions to become progressively better informed.

Startups gradually move from:

• “We think this will work.”

To:

• “We have evidence to support this choice.”

And eventually:

• “We know this works and understand why.”

No company can reach the third stage without passing through the first two. That is the paradox. You need experience to make better decisions, but you cannot gain experience without taking risks and making decisions.

You may want to read: “Why Psychographic Must Be Part of ICP and ABM.”