What is the difference between information monitoring and competitive intelligence?

Information monitoring is the generic process of watching a field. Competitive intelligence is one application of it: informing a business decision about a rival, a market or a regulation. All competitive intelligence is monitoring; the reverse is not true.

How many hours a week should monitoring take?

Practitioners generally cite two to five hours weekly for a serious individual practice. The usual imbalance is not the total but its distribution: most of it goes into collecting and sorting, very little into reading and actually using what was kept.

Are RSS feeds still relevant in 2026?

Yes, and they are becoming central again. After Google Reader shut down in 2013, the format survived as an open standard immune to recommendation algorithms. An RSS feed delivers everything a source publishes, in chronological order — something no social network guarantees.

What is information monitoring?

Information monitoring is the continuous process of collecting, filtering and analysing information on a defined subject in order to anticipate change and decide with evidence. It differs from passive reading by being organised, recurring and aimed at a use.

What does information monitoring actually cover?

Information monitoring is an organised, recurring process for watching a field of information. It comprises four distinct operations: identifying relevant sources, collecting what they publish, filtering what deserves attention, and then using what was kept. Each can be tooled separately, and that decoupling is exactly why so many monitoring setups fail at the last link.

The practice took its modern shape in the 1990s alongside work on economic intelligence — in France, the Martre report delivered to the Commissariat général du Plan in 1994 durably installed the vocabulary in organisations. English tends to say information monitoring, or media monitoring for brand and press coverage, and competitive intelligence on the corporate side.

What are the main types of monitoring?

Types are usually distinguished by their object, not their method. The method stays the same throughout.

Type	What is watched	Example sources
Technology	Techniques, patents, standards	arXiv, patent offices, changelogs
Competitive	Rivals’ offers and moves	Press releases, pricing pages, LinkedIn
Regulatory	Legislation, standards	Official journals, sector regulators
Sector	Market dynamics	Trade press, analyst reports, podcasts
Scientific	Publications and preprints	PubMed, Google Scholar, institutional repositories
Brand / reputation	Mentions of a brand or person	Alerts, forums, social networks

A personal monitoring practice almost always mixes several of these lines. That is normal, and it is also what makes centralisation necessary: fifteen sources spread across five tools are not one monitoring practice but five partial ones.

How do you set up monitoring in five steps?

Define the perimeter. Write one sentence saying what the monitoring should let you decide or produce. Monitoring with no intended use becomes a pile of unread links within weeks.
Map the sources. Aim for fifteen good sources rather than a hundred feeds. Favour primary sources — the legal text over the article commenting on it, the paper over the thread summarising it.
Automate collection. RSS for sites and blogs, subscriptions for video channels and podcasts, alerts for one-off mentions. Manual collection is the first thing to break.
Filter before reading. Sort on title and abstract, not the full text. A rejection rate of 80 to 90 percent is a sign of health, not failure.
Capitalise. Put what you keep into a durable space, with the source, the date and a note on why. Skip this and monitoring restarts from zero every cycle.

Why does monitoring nearly always stop?

A monitoring practice rarely dies from a shortage of sources: it dies from a build-up of unprocessed material. The mechanism is consistent. Collection automates easily, so intake grows. Processing stays manual — you have to read, understand, summarise, connect, file. The gap between the two widens until the queue becomes demoralising to look at.

Information management has a name for this: the collector’s fallacy, popularised in note-taking communities around 2016. Saving an article delivers the cognitive satisfaction of having learned it, when nothing has been absorbed. The link library grows; the knowledge does not move.

How do you tell whether monitoring is working?

Three indicators are enough, and none of them concerns volume collected.

Processing lag: how long between capturing a source and actually using it. Past two weeks, the content will probably never be processed.
Reuse rate: what share of what you kept ends up cited, reworked or drawn on in real work. Under 10 percent signals a perimeter that is too wide.
Ability to retrieve: how long it takes to put your hand back on something read six months ago. It is the hardest test, and the one that reveals most about how well the material is filed.

Where does automation genuinely change things?

Useful automation is not about collection — that has been solved for twenty years — but about processing. Transcribing a forty-minute video, pulling out its salient points, noticing that it overlaps an article read three months earlier: those are the operations that consume the available time, and those are the ones recent tools can take on.

That is the angle Synthiz takes: sources arrive through RSS subscription, YouTube channel, podcast or direct import, are transcribed and synthesised automatically, then filed into a thematic "memory" where recurring concepts are linked to one another with sourced quotations. The editorial judgement stays human; the chore in front of it no longer is.