A public-sector opportunity can be real, relevant to cybersecurity, open to response, and still be the wrong opportunity for your company. That distinction sounds obvious. In practice, it is where a great deal of business development time disappears.

Discovery answers one question: what exists? Pursuit requires a different question: what deserves attention from this company, right now?

Those are not the same problem. A search system can return opportunities. A decision system has to interpret them in the context of the firm that would actually do the work.

Discovery creates inventory. Judgment creates focus.

Procurement databases are designed to make records available. That is useful, but availability is not fit. A cybersecurity firm still has to decide whether the scope maps to confirmed capabilities, whether the buyer and geography make sense, whether response timing is workable, whether required credentials are known, and whether the contract shape aligns with the company’s operating model.

If those questions are left until after a team becomes excited about an opportunity, the decision process has already become more expensive. People start reading attachments, discussing teaming, imagining revenue, and investing attention before the basic fit has been established.

The opportunity is the object being evaluated. The decision is whether that object deserves scarce organizational attention.

Kellette treats that distinction as foundational. The goal is not to produce the largest possible list. The goal is to reduce a large public signal environment into a smaller set of review decisions that can be explained.

A good pursuit decision needs company context

Consider two firms that both describe themselves as cybersecurity consultancies. One primarily delivers penetration testing for commercial and state clients. The other provides managed detection, incident response, and cloud security for federal agencies. A solicitation that looks broadly “cybersecurity relevant” may be compelling for one and noise for the other.

The record did not change. The company context did.

That is why opportunity intelligence should begin with confirmed facts about the company rather than generic keywords. A useful company profile includes at least:

• services the firm actually delivers today;
• public-sector markets it wants to pursue;
• preferred geographies and work models;
• contract values or engagement sizes that make operational sense;
• response runway the team can realistically support;
• known vehicles, certifications, clearances or other confirmed qualifications;
• automatic exclusions and categories the company does not want to pursue.

Unknowns matter too. If a qualification is not confirmed, the system should not quietly assume it exists. “Unknown” is a legitimate analytical state. It tells the reviewer what still needs verification.

The decision should be explainable

A shortlist is only useful if a person can understand why an item made the list. “High fit” without reasoning is a label, not intelligence.

A stronger review explains the relationship between the opportunity and the company. For example: the scope aligns with two confirmed capabilities, the place of performance fits the company’s geography, the response window exceeds the firm’s minimum runway, and no known exclusion has been triggered. It should also say what is unclear.

The same standard applies to rejection. If an opportunity is filtered out because the scope is outside the company’s confirmed services, the response window is too short, or a known requirement conflicts with the profile, that reasoning should be visible.

This matters because a useful system should not merely route attention. It should help a team trust the routing.

Four states are better than one score

Opportunity decisions become clearer when information is separated into four states:

• Observed: directly supported by a source or company-confirmed fact.
• Derived: calculated or normalized from observed information, such as a deadline interval.
• Interpretation: a reasoned judgment, such as why the scope appears aligned.
• Unknown: a material point that has not been confirmed.

This structure is less flashy than a single confidence number, but it is more useful. It gives the reviewer a way to inspect the reasoning instead of accepting an opaque recommendation.

What should happen before anyone says “pursue”?

A disciplined first review does not need to answer every capture question. It needs to answer enough to justify deeper attention.

Before an opportunity moves forward, a team should be able to articulate three things: why it appears relevant, what material questions remain, and why the opportunity is worth spending more time on than the alternatives.

That final comparison matters. Every pursuit competes with other possible uses of the same people and hours. An opportunity does not need to be bad to be rejected. It only needs to be less deserving of attention than something else.

This is the core idea behind Kellette’s approach to opportunity intelligence. Search is the beginning. The product of the system is a reasoned decision about attention.