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Competitive intelligence checklist:
does your process help you decide?

Receiving alerts, reports and summaries generates activity. This checklist helps you check whether that work is also producing context, useful reviews and better decisions.

By Rut Bei Subirat Domènech, Product Owner at EnGuaita · 3 min read
In this article

Key idea

A competitive intelligence process shouldn’t be measured only by how much information it produces, but by how much it helps you understand what deserves attention and what is worth reviewing.

1. Are your alerts connected to specific objectives?

An alert can describe perfectly what has changed and still not be useful for a decision.

The first question is whether that signal relates to something the user needs to achieve, understand or prepare, to an organizational priority, or to both.

Without that connection, different developments can compete for attention even when their relevance is very different.

A signal gains value when you can explain which objective could be affected and who it matters to.

2. Can you tell an interesting signal from a relevant one?

Many developments are interesting.

That doesn’t mean they all deserve analysis, meetings or a response.

A relevant signal should have a clear relationship with the context, the objectives or an open decision.

If everything seems important, prioritization is probably still missing.

3. Is it clear who should interpret each signal?

Detecting information doesn’t guarantee that someone will turn it into useful intelligence.

It’s worth knowing who needs that signal, what context they need to interpret it and what responsibility they have afterwards.

This question is especially important because a signal may be relevant to a specific user even if it doesn’t have the same priority for every team.

Information needs a recipient, a context and a reason to be reviewed.

4. Do you understand why a signal may matter?

A good alert explains what has happened.

A competitive intelligence process should also try to answer why that change may matter.

What could it affect? Which of the user’s objectives is related? Which organizational priority could be affected? What exposure is there?

Context turns a development into something that can be assessed from the reality of whoever has to use it.

5. Does every useful signal end in something specific to review?

After interpreting a signal, it should be clearer what the next step might be.

Perhaps reviewing an account, analyzing a positioning, testing a hypothesis or comparing an alternative.

It doesn’t mean an action has to be executed immediately.

Investigating, waiting, observing or discarding can also be valid outcomes of a review.

6. Can you learn from what happened next?

A useful process doesn’t necessarily end when a decision is made.

It’s also worth observing what happened afterwards and what you learned from the initial interpretation.

Was the signal as relevant as it seemed? Did anything change? Which assumption turned out to be wrong? Did the information really help the user or team that was meant to use it?

Closing that loop helps improve which signals you look for, how you prioritize them and how you interpret them next time.

From more information to better intelligence

If several answers in the checklist are “no”, perhaps the problem isn’t the number of sources you use.

It may lie in the work that happens after the signal is detected.

EnGuaita aims to connect signals with the context and with the relevant objectives of the user and of the organization, help assess their relevance and point to what deserves review or preparation.

Not to make the decision for the team, but to reduce the work needed to arrive better prepared for it.

Give us a real signal from your market and an objective. We'll show you how EnGuaita would interpret it in a tailored demo.

Frequently asked questions

It should help you not only detect changes, but also prioritize what matters to the user and the organization, understand why, pin down what deserves review and support a clear decision.

Not necessarily. The bottleneck may come after detection: in prioritization, interpretation, context, objectives or the connection with a decision.

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