How Assumption-Driven “Market Intelligence” Is Failing Many Big Companies
They’re not running competitive intelligence. They’re running a belief validation program with a corporate badge slapped on it. Let’s call this what it is: weaponised assumption dressed up as “market intelligence.”
When a senior market intelligence manager stands up in a major European city and admits their team doesn’t conduct primary intelligence—but instead tries to validate long-held assumptions—they’re not talking about intelligence.
They’re talking about confirmation bias on a six-figure salary.
And guess what? They’re not alone. This is particularly prevalent in enterprise-level “market intelligence” teams, especially in legacy industries and publicly listed giants. The logos are fancy. The processes? Precarious.
Assumptions Are Not Intelligence
If your competitive intelligence team is trying to “prove” assumptions, they’re not running intelligence. They’re running a belief factory.
Assumptions are useful—but only if they’re temporary.
Let’s break it down:
Primary intelligence
That’s talking to people. Customers. Ex-employees. Partners. Distributors. Talent recruiters. Channel managers. Anyone who has been involved in the business or its competitors.
Secondary intelligence
Desktop research. Public filings. Websites. Conference transcripts. Tender databases. Reddit threads.
If you skip the first and cling to the second, you’re running a research team. This is where competitive intelligence software is particularly helpful. But it’s not an intelligence function. It’s information collection that’s converted into data. Not intelligence.
What’s Really Going On Here?
Let’s unpack why a market intelligence manager would proudly say, “We don’t do primary intelligence, but we try to validate our assumptions using public data”
1. Fear of being wrong
Most corporate functions fear being wrong more than they fear irrelevance. It’s safer to validate internal narratives than to uncover external truths that contradict the C-suite.
2. Compliance anxiety
In Germany, especially, there’s a deep-rooted fear around data protection laws and the optics of “spying.” Many CI teams confuse legal primary research with unethical espionage.
You can speak with former employees, analysts, customers, and vendors—legally and ethically. Octopus Intelligence does this daily, with zero GDPR violations. If an ex-employee has signed a non-disclosure, it tends to end there. Simple.
3. Power structures
In mature corporations, “assumptions” are often the beliefs of high-ranking execs. Competitive intelligence’s job becomes less about finding the truth and more about making the deck match the PowerPoint presented to the Vorstand.
A Real Example: Celonis vs. the German CI Scene
Take Celonis, the process mining SaaS company out of Munich. Founded in 2011, but only started gaining real traction in the last 5–7 years.
They knew they were taking on IBM, SAP, and Oracle—giants with deep process tools and entrenched client relationships.
But Celonis didn’t sit around validating assumptions about how slow and outdated the legacy players were. They hired ex-SAP people, spoke directly to customers who used Signavio and SAP Process Insights, and uncovered one key truth:
Customers didn’t need more process data. They needed to connect process mining to business outcomes, such as cash flow and ESG compliance.
That insight didn’t come from validating a theory in a boardroom. It came from the market, through direct conversations. Celonis built features and positioning based on real intelligence.
Today, they’re a $13 billion company that has rewritten the category narrative.
What Happens When You Build On Assumptions?
- You build slide decks, not insights.
- You miss category shifts until it’s too late.
- You over-invest in strengths that no longer matter.
- You under-estimate threats that don’t look like threats at first.
Example:
In 2018, a mid-sized German industrial software company we consulted with ignored the threat of no-code SaaS automation platforms like Make and Zapier.
Why? They assumed that only engineers would use automation tools in an enterprise. Their competitive intelligence team (two people with MBAs and zero outbound reach) focused on validating that engineers still preferred their desktop-based tools.
By 2021, their mid-market customers had completely shifted to cloud-based tools run by operations managers and finance teams—not engineers. They lost a third of their clients in under 18 months.
Competitive intelligence didn’t fail because they missed the trend; rather, it failed because they didn’t understand the trend. They failed because they never looked for it.
How to Break the Assumption Cycle
If you’re running competitive intelligence and feel like your company’s stuck in an echo chamber, here’s the playbook you could use:
1. Commit to Primary Intelligence
You don’t need 50 interviews. You need five good ones. Target:
- Ex-employees of your top 3 competitors
- Channel partners who dropped a competitor
- Job applicants who turned you down
- Industry analysts who aren’t on your payroll
- Talk to us
2. Stop Making Everything an Internal Presentation
Competitive intelligence should serve as a decision-support function, not a data factory. Your job is to inform decisions, not make slides look “on-brand.”
3. Reframe Assumptions as Hypotheses
Treat assumptions like what they are—working theories. Say:
“We believe Competitor A is shifting toward SMB markets because of XYZ job posts and product messaging, but we’re running calls to validate.”
That’s a testable, falsifiable hypothesis. Intelligence lives in the testing—not the theory.
4. Create a “Red Team” Process
If your team has sacred assumptions, assign someone to challenge them. Make it a regular practice.
At Octopus Intelligence, we conduct quarterly “assumption autopsies” for our clients. We take one accepted truth and reverse engineer its failure conditions. The results are usually uncomfortable—but always valuable.
What You Should Have Said (Mic or No Mic)
In that Berlin session, when the senior manager said:
“We don’t do primary research. We try to validate our long-standing assumptions.” Guess what the audience did at the end? They clapped politely with no questions of any substance asked.
Final Thought: You’re Not in Intelligence Unless You Leave the Building
Competitive intelligence is not a desk job. It’s not a slide job. And it’s not a brand job.
It’s a street-level, person-to-person, test-the-assumptions kind of job.
If you’re not talking to the market, you’re just polishing PowerPoints.
Don’t build your future on educated guesses. Build it on uncomfortable truths.
Frequency Asked Questions (FAQ’s)
1. What is the difference between primary and secondary competitive intelligence?
Primary intelligence comes from direct human sources. This includes interviews with former employees, customers, and partners. Secondary intelligence is derived from public sources, including websites, filings, and news reports.
2. Why do companies rely on assumptions in market intelligence?
Many teams stick to their own assumptions. They worry about being wrong, fear risks, or misunderstand the legal limits of primary research. This leads to confirmation bias rather than genuine insights into competitors.
3. How can I validate competitor insights effectively?
Begin with hypotheses, not assumptions. Test them through direct interviews with ex-employees, customers, and industry experts. Avoid relying solely on secondary data to confirm internal beliefs.
4. Is it legal to conduct primary intelligence on competitors?
Yes, as long as it’s ethical and respects confidentiality and data protection laws. Discussing public sources, such as former employees (no longer subject to NDA) or customers, is perfectly legal.
5. What tools help with competitive intelligence?
Tools like Similarweb, LinkedIn, Owler, and job scraping platforms provide useful secondary insights. The real advantage comes from human sources. This includes cold outreach, customer calls, and specialist CI agencies like Octopus Intelligence.
6. Why is competitive intelligence often ignored in large corporations?
Legacy processes, political risks, and bias in the C-suite often result in underutilised CI functions. Instead of acting as insight engines, they become mere validation machines.
7. How do you structure a competitive intelligence hypothesis?
We think Competitor X is targeting [segment] due to [observable behaviour].” Then test through interviews or data collection.
8. What is assumption validation in market intelligence?
It’s the practice of trying to confirm beliefs or internal narratives without challenging them. It’s often mistaken for CI but lacks the objectivity and rigour required.
9. What are the risks of not doing primary intelligence?
You might miss market changes. This can lead to strategies based on old or biased views. Primary research grounds your decisions in reality.
10. Who are examples of companies doing competitive intelligence right?
Celonis, Canva, and Deel have outsmarted strong competitors. They did this by tuning into market trends, not just their own teams.
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.
