Technology watch and competitive intelligence: from gathering information to sustaining a system

What is the difference between technology watch, competitive intelligence and strategic intelligence?

The three terms are often used as synonyms, but they answer different questions. In practice, one team covers all three levels with a single system.

UNE 166006:2018, R&D+i management: watch and intelligence system, has been in force since 18 April 2018 and supersedes the 2011 edition^[1]. ISO 56006:2021, published in November 2021, is a guidance document that cannot be certified, and it stresses that strategic intelligence is not limited to innovation: it serves any area that takes strategic decisions^[2].

Which decisions does a watch and competitive intelligence team feed?

The team’s work only makes sense if it can be linked to concrete decisions in other areas. The most common ones:

• Entering, maintaining or leaving a technology line. R&D and innovation need to know who is patenting and publishing on the topic, and at what pace.
• Responding to a competitor’s move. A launch, an acquisition or an alliance requires sales, product and executive management to react with the same information.
• Prioritising calls and tenders. Business development and innovation decide which ones to bid for, with the lead time that early knowledge provides.
• Preparing committees and strategic thinking. Executive management and strategy ask for context with a date and a source, not headlines.
• Assessing partners, suppliers or acquisition candidates. The history of what has been published about an entity is the first due diligence.

How to design a system that does not depend on one person

1. An inventory of needs by area. For each watch: which decision it feeds, who receives it and how often. A watch with no recipient is closed.
2. Critical watch factors. The topics that really condition competitiveness, written as questions (‘which substitutes for material X are reaching industrial scale?’) rather than as loose words.
3. A justified source map. Each source responds to one or more critical factors and has an owner. If it stops contributing, it is replaced.
4. Written relevance criteria. What is in and what is out, with examples of inclusion and exclusion, reviewed with users.
5. Human validation with a reason. Whoever validates a signal notes why it matters; that note is what gives the history its value.
6. A history with date and source. What has been validated is kept linked to its original publication, so that the next question does not start from scratch.
7. Periodic review with indicators. Topics, sources and formats are adjusted with usage data, not out of habit.

How to measure whether the system works

Counting newsletters sent does not demonstrate value. These indicators do say something about the system:

• Coverage: percentage of critical factors with at least one active source that has contributed validated signals in the last period.
• Use: queries to the history, and requests from areas answered with what has already been validated.
• Impact: documented decisions in which a validated signal was an input (a proposal submitted, a project redirected, a risk mitigated).
• Source health: sources that have contributed nothing for several periods and need reviewing.
• Satisfaction: the recipients’ assessment at each periodic review.

What legal and ethical limits does competitive intelligence have?

Competitive intelligence works with information obtained lawfully. Directive (EU) 2016/943 considers lawful the acquisition of a trade secret through independent discovery or creation, through observation, study, disassembly or testing of a product that has been made available to the public or that is lawfully in the possession of the person studying it, and through other practices consistent with honest commercial conduct^[3]. In Spain, Law 1/2019 on Trade Secrets sets out the same cases in its Article 2^[4].

SCIP’s code of ethics, the international association of competitive intelligence professionals, adds two operational rules: comply with all applicable law, national and international, and identify yourself by name and organisation before any interview^[5]. In practice: no pretexts to obtain information, no inducing a competitor’s employees to reveal what they should not, and a record of the source of every data point.

What does Innguma offer a technology watch and competitive intelligence team?

Innguma is a technology watch and competitive intelligence platform that monitors news and websites, patents, regulation and the BOE, tenders, competitors’ websites and specialist sources. Signals reach Factory, the space where Innguma processes and structures them: the AI groups duplicates and classifies each one by category, technology, entity, type of event, place and tone, and the analyst reviews and validates it.

What is validated goes to the Library, which keeps it with tags, comments and a linked source. Newsletters by area are sent from it, with AI-generated summaries that the team reviews. AI Feed lets you browse the content by the dimensions the AI identifies. Integration with the client’s Active Directory centralises sign-in and the addition and removal of users, which matters as the number of readers grows.

Innguma offers connectivity through the Model Context Protocol (MCP), currently compatible with ChatGPT, Claude, Microsoft Copilot and Gemini. If your organisation enables it, you can run the watch cycle from your assistant: sources, filters, review, publication and queries. What is automated, and what goes through human review first, is decided by the team. Innguma’s technology watch and intelligence system is certified under UNE 166006:2018 (certificate 34/5705/25/01139, OCA Global, valid until January 2028)^[6]. And it can be run with your team or with ours.