Competitive intelligence teams have never had more access to data, analytical tools, and AI-assisted research. Yet many of their best reports still fail to change what a business does.
The problem is rarely a lack of rigor. It is a lack of alignment between the intelligence produced and the decision that must be made. In a webinar on moving from insight to influence, Comintelli CEO and co-founder Jesper Martell and Proactive Worldwide president and co-founder David Kalinowski argued that the profession must move beyond informing leaders and start helping them decide.
Their central message is simple: the end product of competitive intelligence is not the report, the analysis, or even the insight. It is a better decision—and, over time, a better business outcome.
Decision-first competitive intelligence starts by defining the exact business decision, its owner, available options, critical assumptions, and the risks of action and inaction. Analysts then gather only the intelligence relevant to that choice, select the appropriate framework, recommend an action, and track the outcome. The result is less unnecessary analysis and more influence on strategic decisions.
What Is Decision-First Competitive Intelligence?
Decision-first competitive intelligence is a method of designing intelligence work around a specific business choice. Instead of collecting information first and deciding later what it means, the analyst begins with the decision, identifies who owns it, and works backward to determine what evidence and analysis are truly necessary.
“The end goal isn’t better insights. The goal is better decisions, and that leads to better outcomes.”
— David Kalinowski
This shift changes the questions an intelligence team asks. A broad request such as “research six competitors” is not yet a useful project definition. The team first needs to know whether the organization is deciding to acquire a company, enter or exit a market, change prices, protect a strategic account, or stop funding an initiative.
If the stakeholder cannot explain what decision the research will support, the project may not be ready to begin.
Why Strong Competitive Intelligence Often Fails to Influence Decisions
Analysis can be accurate, detailed, and methodologically sound—and still be irrelevant to the choice in front of an executive. Four recurring barriers explain why.
1. The output is not aligned with the actual decision
Analysts often reach automatically for familiar tools such as SWOT analysis, Porter’s Five Forces, or four-corners analysis. Those frameworks are valuable only when they illuminate the decision at hand. Starting with a favorite framework can produce impressive work that never addresses what the leader must choose.
2. The real decision maker is missing
A team may scope a project with a gatekeeper, present to a room of stakeholders, and only later discover that the person who owns the decision was never involved. Influence weakens when findings must be reinterpreted and relayed by others.
3. The intelligence challenges an executive’s preferred narrative
Leaders sometimes enter a discussion with a strong hypothesis or a decision already in mind. Evidence that contradicts that view can be dismissed before it receives a fair hearing. Intelligence professionals therefore need both the courage to be provocative and the trust required to sustain an uncomfortable conversation.
4. The delivery format does not fit the audience
Even a concise one-page report may go unread. Kalinowski recalled an executive who rarely engaged with written intelligence but loved movies. When the team converted key insights, implications, and actions into two-minute videos, engagement improved. The lesson is not that video is always better; it is that influence depends on how a decision maker absorbs information.
Informing vs. Influencing: The Critical Shift
Informing provides facts, figures, background, and relevant knowledge. Influencing connects that knowledge to a decision and persuades a stakeholder to consider a specific action.
To make that shift, competitive intelligence professionals must:
- connect intelligence to the stakeholder’s goals, incentives, and business outcomes;
- communicate confidence levels and uncertainty candidly;
- translate findings into clear implications, options, and recommended actions;
- adapt the message to the decision maker’s preferred format; and
- build enough trust to challenge assumptions without being dismissed.
“We assume decision makers know what to do with the intelligence we provide. Many do—but just as many don’t.”
— David Kalinowski
A Five-Step Decision-First Competitive Intelligence Framework
The webinar outlined a practical process for designing intelligence around strategic decisions.
- Define the decision: Phrase the choice as a direct question: Should we acquire this company? Should we match a competitor’s price cut? Should we exit this market? Identify the person who owns the final decision, not only the stakeholders who influence it.
- Clarify the options and trade-offs: Every strategic choice competes with another use of money, time, talent, or political capital. Ask what alternatives are being considered and what the organization may have to give up.
- Surface assumptions and unknowns: Identify what leaders believe to be true, where confidence is low, and what evidence could change their minds. This keeps the project focused on “need to know” questions rather than “nice to know” research.
- Choose analysis that fits the decision: Select frameworks only after the decision is clear. The right method should help leaders compare options, test assumptions, understand uncertainty, and weigh the risks of acting or not acting.
- Recommend an action and track the outcome: Present the options, state which one you recommend, and explain why. Then follow the decision over the next six, 12, or 18 months to understand its business impact and improve future work.
Decision-First Competitive Intelligence in Practice: A Pricing Example
Consider a competitor that reduces prices by 15%. A traditional intelligence response might explain the competitor’s motives, market conditions, and likely customer reaction. A decision-first response begins with a sharper question: Should we match the competitor’s 15% price reduction?
From there, the team maps the decision:
- Decision owner: the executive responsible for pricing.
- What must be true: the price cut is permanent; customers are highly price-sensitive; value and differentiation cannot defend share; and retained volume will offset margin loss.
- Risks of action: permanent margin erosion, pressure on sales targets, and difficulty raising prices later.
- Risks of inaction: customer losses, strategic account vulnerability, or a sustained share decline.
- Recommendation: do not automatically match the cut across the market. Defend value selectively, protect strategic accounts, strengthen value messaging, and monitor whether the competitor’s move is temporary or permanent.
The example shows why risk analysis must consider both action and inaction. It also demonstrates how a clear decision can eliminate large amounts of irrelevant research.
Five Ways to Increase the Influence and ROI of Competitive Intelligence
- Focus on what matters most: Do not measure a project by the percentage of questions answered. One answer that changes the decision may be more valuable than nine answers that do not.
- Communicate with clarity: Be concise and make a point. Avoid ambiguous language and excessive hedging. If another colleague has greater credibility or communication strength with the decision maker, enlist that person as a co-author or advocate.
- Turn insights into action: State what the organization should do next. Insight without a recommended response leaves the hardest work unfinished.
- Build strong relationships: Influence depends on access, credibility, and trust. Regular contact with stakeholders makes it easier to understand their real concerns and challenge their assumptions.
- Measure outcomes over time: Track which decisions the team influenced and what happened afterward. Some impact appears quickly, but many strategic outcomes become visible only after six to 18 months.
“If we’re not influencing a decision, then we may not be offering any real value.”
— David Kalinowski
How AI Changes Competitive Intelligence—And Why Human Judgment Matters More
AI can search, organize, summarize, and identify patterns across large volumes of information. Those capabilities can accelerate the research and analysis stages of competitive intelligence, especially for work once assigned to junior researchers.
But faster information gathering does not eliminate the need for human intelligence professionals. People still determine where to look, what evidence is credible, which signal matters, how much risk an organization should accept, and how the analysis relates to a particular leader and decision.
“AI allows you to fish in a big ocean of data, but you still need a human to tell you where to fish—and what to throw back.”
— David Kalinowski
Human analysts also play a vital role in challenging assumptions. AI systems can generate risks and counterarguments, but they may need explicit prompting to adopt a critical lens. A trusted advisor can question a leader’s preferred narrative in real time, understand the political and organizational context, and adjust the message when new evidence emerges.
The One Question Competitive Intelligence Teams Should Ask Tomorrow
For teams that want to become more influential, the best starting point is one direct question:
“What decision will the information you want us to provide support?”
— David Kalinowski
Then ask two follow-ups: How confident are you in that decision today? What would you need to learn to change your mind?
These questions expose the true purpose of the project, reveal uncertainty, and create permission to remove analysis that does not matter. They also reposition competitive intelligence as a decision partner rather than a research service.
Conclusion: Measure Intelligence by the Decisions It Improves
Competitive intelligence is moving higher in the value chain. As AI makes information and preliminary analysis easier to produce, the differentiator will be the ability to apply judgment, context, storytelling, and influence to consequential business choices.
A decision-first mindset does not diminish rigorous research. It gives rigor a purpose. By defining the decision, understanding the trade-offs, challenging assumptions, selecting the right analytical approach, recommending action, and measuring outcomes, intelligence teams can turn insight into influence—and influence into measurable value.
Frequently Asked Questions About Decision-First Competitive Intelligence
What is decision-first competitive intelligence?
It is an approach that begins with a clearly defined business decision and works backward to identify the evidence, analysis, risks, and recommendation needed to support it.
How is influencing different from informing?
Informing gives leaders facts and context. Influencing connects those facts to a choice, challenges assumptions, and recommends an action.
What questions should a competitive intelligence team ask before starting a project?
Ask what decision the work will support, who owns the decision, which options and trade-offs are under consideration, what assumptions must be true, what remains unknown, and what evidence could change the stakeholder’s mind.
How can competitive intelligence teams measure ROI?
Track the decisions influenced, the actions taken, and the resulting revenue, cost savings, risk reduction, or strategic outcome. Because impact may take six to 18 months to emerge, maintain a follow-up tracker.
Will AI replace competitive intelligence professionals?
AI will automate parts of research, synthesis, and pattern detection. Human professionals remain essential for judgment, relevance, risk interpretation, relationship-building, assumption testing, and influencing decision makers.
What is the first step to increasing competitive intelligence influence?
Ask: “What decision will this information support?” Then align every question, source, framework, and recommendation to that decision.
Turn Competitive Intelligence Into Better Decisions
The value of competitive intelligence isn’t measured by how much information you collect—it’s measured by the decisions it helps improve.
With Comintelli, you can bring relevant market and competitive intelligence together, cut through information overload, and deliver the insights decision makers need when it matters most.
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