
Why Certainty Is the Enemy of Good Decisions: Weekly Winning Strategies
Sometimes good decisions don’t work out, and bad ones do. What matters most isn’t being certain, but whether you looked at the evidence first. Competitive intelligence helps you take informed choices you can stand by, even if luck isn’t with you. Certainty Is the Enemy of Good Decisions
I’m writing this after listening to local Nottingham Forest podcasts, where everyone has strong opinions about the team’s Premier League struggles. Fans are quick to call for a new manager, which is easy when you don’t have to make the decision or pay the costs. This article was written just twelve hours after the last manager was let go.
Why Certainty Is the Enemy of Good Decisions
Most terrible business decisions start with someone being absolutely certain.
“Our competitor is definitely winning because of their pricing.”
“Customers absolutely want this feature.”
“The market is clearly moving this direction.”
You will have been in “strategy” meetings where executives talk with total confidence about competitive forces they haven’t actually researched. Yes, they’re just guessing, but their confidence makes others think they have real knowledge.
The most dangerous people in business aren’t the ones who admit uncertainty. They’re the ones who mistake their assumptions for facts.
After years in competitive intelligence, I’ve learned that the more you research, the more complex the reality gets. It becomes much harder to stick to simple stories.
You might think your competitor wins because of price. After talking to customers, you learn it’s actually their implementation speed. Testing the product, you see implementation is slower, but their sales team sets better expectations. Later, you hear the new sales team isn’t as strong as before.
Nothing is simple. Anyone who tells you that hasn’t looked closely enough.
What Competitive Intelligence Actually Gives You
Competitive intelligence doesn’t make you certain. It gives you facts (and the level of certainty of those facts) to work with.
There’s a massive difference. Being certain means you think you know what will happen. Having evidence means you understand what’s happening now and what has happened in similar situations before.
We worked with a fintech company in 2023 to decide whether to move upmarket to enterprise or double down on SMB.
The CEO wanted enterprise. “That’s where the big revenue is.”
We undertook competitive intelligence, defined questions, and removed the CEO’s clear bias. We found that three competitors had tried to move upmarket over the previous two years. All three failed to gain traction and retreated to their original segments.
We interviewed enterprise prospects. They needed features their product didn’t have, and wouldn’t have for at least 18 months. They needed to rebuild the core architecture.
We looked at competitors who succeeded in the enterprise. They all had 3+ years of development specifically for enterprise needs before they got meaningful traction.
The evidence was clear. Focus on SMB now to build strength and profit. Move to enterprise later, once you’re in a strong position, for the best chance at lasting success.
The CEO chose to pursue the enterprise anyway. “I have a gut feeling about this.”
The company burned through $3M in enterprise sales and engineering over fourteen months. Closed six enterprise deals. Lost momentum in SMB to competitors who stayed focused.
They withdrew to SMB in 2024. They’re recovering, but they’re 18 months behind where they could have been.
In this case, certainty led to ignoring the evidence. The takeaway is that strong decisions should be based on evidence, not on confidence alone.
The Framework for Making Defensible Decisions
You can’t control what happens. Markets change, competitors do unexpected things, and Black Swan events can occur.
What you can control is whether your decision was defensible based on available evidence at the time.
Here’s the framework I use for every major competitive decision:
Step 1: Map What You Actually Know
Write down the facts you have. Not assumptions. Not gut feelings. Verified information.
“We lost three deals to Competitor X last quarter” is a fact.
“Competitor X is winning because of better features” is like most “strategic” discussions. People mix up facts and assumptions. Make sure to keep them apart. assumptions freely. Separate them.
Step 2: Identify What You Don’t Know
Make a list of critical uncertainties. Things that would change your decision if you knew them.
For the mobile app versus integrations decision, our uncertainties existed:
- Will competitors get unexpected platform promotion for mobile apps?
- Will enterprise customers start requiring mobile as table stakes in the next 12 months?
- Can we build quality mobile experiences with our current team?
We couldn’t get rid of these uncertainties, but we could judge how likely they were and how much they might matter.
Platform promotion was unpredictable but unlikely to sustain usage if the product wasn’t good. Enterprise requirements were possible, but our customer base was 80% SMB. Mobile development would require hiring specialists we didn’t have.
The uncertainties didn’t outweigh the evidence. They just showed us where luck might help or hurt us.
Step 3: Gather Evidence on What Matters Most
Don’t research everything. Research what would actually change your decision.
For the upmarket decision, the critical question was:
“How long does it actually take to successfully penetrate enterprise markets in our category?”
We researched eight competitors who’d moved upmarket. Average time from first enterprise hire to $1M enterprise ARR: 2.7 years. No one did it faster than 18 months.
That evidence directly answered whether the CEO’s schedule expectations were realistic. They weren’t.
Step 4: Make the Call and Document Your Reasoning
Decide based on the evidence. Write down why you decided what you decided.
This isn’t about protecting yourself. It’s about learning if your decision process was solid when you look back later.
Keep a decision log for every major strategic call. The decision, the evidence considered, the uncertainties acknowledged, the reasoning.
Six months or a year later, review them. Not to judge whether the outcome was good or bad, but to judge whether your process was rigorous.
Sometimes you will make the right choice, and luck was on my side. Other times, you’ll make the right choice, but things don’t go well. And sometimes your process wasn’t great, but I still got lucky.
The aim is to get better at the process, not to be correct every single time.
Why Bad Decisions Sometimes Work
A competitor of yours made what I considered a terrible decision in 2021.
They pivoted from B2B SaaS to consumer subscription boxes. No market research. No competitive intelligence. Just the founder’s conviction that “subscription boxes are the future.”
It seemed insane. The market was saturated, customer acquisition costs were high, and retention was terrible across the category.
They did $4M in revenue the first year. Profitable by month eight.
Why? They got lucky on TikTok. A creator with 2M followers featured their box organically. Drove 40,000 signups in two weeks. That single piece of luck changed everything.
Was it a good decision? No. The process was terrible. They ignored evidence. They bet everything on hope.
Sometimes bad decisions work for a while because of timing, context, or luck. But luck isn’t a strategy, and it can’t keep you successful in the long run.
The problem is that you can’t build a sustainable business on hoping for viral moments.
Short-term wins don’t last. The main lesson is that only strong processes lead to lasting, repeatable success.
How Competitive Intelligence Changes the Game When Decisions Go Wrong
The real value of competitive intelligence isn’t preventing all bad outcomes. It’s giving you defensible reasoning when outcomes don’t go your way.
When you lose deals, when features flop, when strategies fail, you can look back at your decision process and assess it honestly
- Did we have the best available evidence?
- Did we consider the right questions?
- And did we acknowledge the uncertainties?
- Did something unpredictable happen that changed the context?
If you did rigorous competitive intelligence and still got a bad outcome, you learn what to look for next time. You refine your process.
If you skip competitive intelligence, you miss out on learning. The main point is that improvement and toughness come from having a good process.
The Decisions You Have to Make Without Enough Information
Sometimes you don’t have time for thorough competitive intelligence. Markets move fast. Opportunities close. Competitors make surprise moves.
You have to decide with incomplete information.
That’s okay. Just be aware that you’re making a decision with limited information.
You will make wrong calls. Everyone does.
The question is whether you learn from them or just feel bad about them.
After every major decision that doesn’t work out, do a post-mortem:
What did we expect to happen?
What actually happened?
And what evidence did we have at the time?
What evidence did we miss that was available?
What changed that we couldn’t have predicted?
Also, what would we do differently?
This process helps you tell the difference between making a bad decision and making a good decision that just didn’t work out.
A good decision with a bad outcome means your process was sound, but context didn’t cooperate. Keep the process. Perhaps adjust for new information.
A bad decision with a bad outcome means your process was flawed. Fix the process.
A bad decision that turns out well is actually the most risky. You were lucky, but you might learn the wrong lesson. Don’t mix up luck with skill.
The Competitive Intelligence Habit That Changes Everything
Most companies do competitive intelligence when they’re making big decisions. Launch strategies. Product roadmaps. Pricing changes.
That’s too late.
The companies that make the best decisions treat competitive intelligence as an ongoing habit, not just a one-time project. Spend 90 minutes gathering quick competitive intelligence. Most of it doesn’t induce immediate decisions. It just builds your understanding of the landscape.
So when you need to make a decision, you are not starting from zero. You already know the competitive context. You already understand the patterns. And you can make faster, better decisions because you’ve been paying attention continuously.
That’s the real advantage. It’s not about seeing the future perfectly, but about having better context than competitors who only pay attention when they have to make a decision.
What Actually Matters
Decisions are hard because the future is uncertain.
Competitive intelligence doesn’t make the future certain. It makes your decisions defensible.
You gather the best available evidence. You acknowledge what you don’t know. You make the call. You document your reasoning. You learn from the outcome.
Sometimes you’re right and win. Sometimes you’re right and lose anyway. Sometimes you’re wrong but get lucky.
What matters is that you’re not just guessing or relying on certainty. You’re forming informed choices based on evidence you can explain and stand behind.
Be wary of people who are certain about competitive strategy. Or certain about anything, including football club managers. They either haven’t looked closely enough, or they’re confusing conviction with knowledge.
The best strategists I know are comfortable with ambiguity. They gather evidence. They make calls. They adjust when new information arrives.
They question themselves enough to check their assumptions, but they’re still confident enough to make decisions even when things are uncertain.
That’s what competitive intelligence enables. Not certainty. Conviction based on evidence.
That’s all you can really ask for.
We are Octopus. The Global People-Powered Competitive Intelligence Agency.
Outsmart your competition. Make the unknown known. Octopus helps you gain clarity in complex markets. With clients and tentacles around the world, we deliver sharp, actionable competitive intelligence through a blend of deep primary (HUMINT) and secondary research. If you’re looking to make smarter decisions, beat the competition, and reduce uncertainty, we’re the partner you want on your side.
Frequently Asked Questions
How do I know if I’m making a good decision or just getting lucky?
Write down your reasoning before you see the outcome. Note the evidence you considered, the uncertainties you acknowledged, and why you chose this path. Six months later, review it and decide whether it was rigorous, regardless of the outcome. Good decisions sometimes fail. Bad decisions sometimes succeed. Process quality matters more than short-term results.
What should I do when competitive intelligence contradicts my instincts?
Examine why your instincts differ from the evidence. Sometimes instincts capture soft signals, and evidence misses. Sometimes instincts are biases masquerading as insight. The best approach: acknowledge the conflict, gather more targeted evidence on the specific point of disagreement, then decide whether to trust evidence or intuition—and document which you chose and why.
How much competitive intelligence is enough before making a decision?
Gather evidence on questions that would actually change your decision. If more research won’t change your choice, stop researching. For major strategic decisions, spend 2-4 weeks. For tactical decisions, 2-4 days. For pressing decisions, get the best evidence you can in the time available and acknowledge the uncertainty explicitly.
What if my team wants to move forward, but competitive intelligence suggests we shouldn’t?
Present the evidence plainly without being dogmatic. Show what you found, what it suggests, and what risks exist either way. Let the team decide with full information. If they choose against the evidence, document their reasoning. Sometimes team conviction matters more than data—just make sure everyone knows the bet they’re making.
How do I learn from decisions that didn’t work out?
Run post-mortems that separate process from outcome. Ask: What did we know then? What did we miss that was knowable? What changed unpredictably? Was our decision-making process sound, even if the outcome was bad? Focus on improving your process, not beating yourself up for outcomes beyond your control.
Should I ever make decisions without competitive intelligence?
Yes, when speed matters more than certainty or when the decision is easily reversible. Small experiments, quick tests, and low-stakes moves don’t need extensive CI. Save deep research for decisions that are expensive to reverse or have major strategic implications. Not every decision deserves the same rigour.
How do I balance competitive intelligence with my own product vision?
CI informs vision; it doesn’t replace it. Use evidence to stress-test your vision—are you building something customers actually want? Are you differentiating where it matters? Is the market ready? Vision sets direction. CI helps you execute that vision without ignoring market reality or rival market forces.
What’s the difference between being uncertain and being indecisive?
Uncertainty means acknowledging you don’t have perfect information but deciding anyway based on the best available evidence. Indecision means avoiding choices because you’re waiting for certainty that will never come. Use CI to reduce uncertainty to manageable levels, then decide. Perfect information doesn’t exist. Good enough information with timely action beats perfect information that arrives too late.
Key Takeaways
- Certainty often leads to poor decisions; good choices stem from examining evidence thoroughly.
- Competitive intelligence offers facts and insights, enabling informed decisions instead of relying solely on confidence.
- A structured framework for decision-making includes mapping known facts, identifying uncertainties, gathering crucial evidence, and documenting reasoning.
- Making decisions with incomplete information is sometimes necessary; learning from outcomes strengthens future decision-making processes.
- Developing a habit of continuous competitive intelligence enhances understanding and leads to faster, better decisions when needed.

