Common competitive intelligence questions: evidence checks

Common competitive intelligence questions cover competitor positioning, target buyers, published pricing, and differentiators. To make answers usable, record recoverable evidence, define the buyer boundary, tie each finding to a business choice, and state what would reopen the question. The checks below also cover source limits, reconstruction, and specialist review.

Questions to ask about a competitor

Make the source recoverable

Evidence means the particular record relevant to a decision, paired with its publication and retrieval dates so another researcher can locate it later. Public materials include SEC EDGAR 10-K and 8-K filings, the California Secretary of State's bizfile Online and the Delaware Division of Corporations' entity search, and USPTO Patent Center records.

Competitors' careers pages and channel partners also publish pricing and tool choices in plain text. Log both dates so the material can be retrieved and its collection date judged later, rather than relying on an undated copy or an untraceable summary.

Fix the audience boundary first

Set tier, region, role, approved scope, and exclusions before interpreting buyer findings. Evidence should describe that defined population; enterprise procurement results do not automatically apply to self-serve buyers in the same market. Keep scope and version with the competitive-intelligence file.

Before choosing between conflicting answers, compare the teams' definitions; different labels do not prove that they studied the same population or applied the same criteria. Positioning research evidence helps define buyer evidence before commitment, while explicit boundaries keep comparisons interpretable.

Choose a decision, not a description

Name the business action, its owner, and its due date before collecting competitor material. This makes research accountable to a decision rather than an open-ended description of a rival. Teams can sharpen the framing with go-to-market decision questions before data gathering begins.

Consider whether to match a competitor's onboarding fee in the mid-market tier: that sets a choice, while asking what the competitor is doing does not. Compare how pricing teams frame a similar issue, but do not assume different labels mean matching populations or criteria.

Place each limitation alongside its result

Put each source limitation beside its finding, ideally in the same table row, so decision makers see the boundary before relying on it. One record may support a narrow observation without establishing the broader conclusion a team wants. Benchmark claim checks help keep the caveat attached.

A vendor's listed price does not reveal what buyers pay after discounts, and a hiring post does not confirm payroll headcount. G2 and Capterra reviews omit buyers who stayed quiet, so they cannot represent every buyer view. A board deck can also repeat a finding six months after it stopped being true.

GAO's data-reliability guide treats quality as dependent on intended use. A competitor headcount scraped from a directory may work for rough sizing yet fail a pricing decision; reliability depends on fitness for the task, not the number by itself. Descriptive reporting cannot estimate what copying a rival would cause.

NIST experimental-design guidance starts with the objective and practical constraints when choosing a design. That differs from descriptive reporting: a pre-launch test asks a different question than a report of competitor activity. Keep the distinction clear when judging what the evidence supports.

Retain enough to rebuild the analysis

Make the file reconstructable by retaining inputs, current versions, and the date each claim was checked. Include uncertainty, rejected explanations, and decisions changed by the finding, along with cost and quality notes, so another person can repeat the reasoning when ownership moves.

CISA business-system logging guidance explains why organizations retain and review event records. Access, change, and correction records show what happened to a file, including revisions, but they cannot establish whether the underlying finding was correct or reliable for its intended use. Those records document process, not truth.

For dashboards and reports used internally, W3C's information and relationships explanation matters because some people expected to act on the material cannot interpret a table conveyed only through visual appearance. Put relationships into the report structure rather than relying on layout alone; traceable product messaging practices help keep claims usable.

Write down what reopens the question

Record the event that will reopen the question when you record the answer, and include it in the review plan before results circulate. A trigger written in advance gives the team a reason to repeat research instead of waiting for someone to challenge old findings.

Possible triggers include a funding round, product launch, new 8-K, or change in your own tier structure. Put the condition into the go-to-market review checklist before sharing results; if no trigger is documented, teams can miss it even when the original source remains traceable.

Send expert judgments to the right reviewer

Refer questions to specialists when resolution depends on law, safety certification, or contract interpretation. Competitive research can locate the issue and identify the relevant regulator or standards body, but it cannot supply the expert judgment needed to settle these matters within the team.

State the boundary in the go-to-market strategy, name the relevant authority, and refer the matter to counsel or a certified engineer rather than trying to resolve it through competitor research. The research team's role is to locate and frame the question for the right reviewer, not to replace that reviewer.