Use Case
Weekly AI-Assisted Market Radar
A scheduled weekly radar that surfaces five market developments, checks the evidence and turns research into campaign, social and blog ideas.
Results snapshot
What the Workflow Produced
Workflow figures based on the described process.
8 hours
Monthly savings
Time saved through the weekly radar workflow each month.
60% AI / 40% human
AI vs human time
AI-assisted preparation supported by human checking, judgement and approval.
5 developments
Repeatable output
A focused set to review instead of starting from a blank page.
This page shows a scheduled weekly market radar that surfaces five relevant developments, checks the evidence and turns the research into possible campaign, social and blog activity.
The workflow is described at method level so the operational detail stays clear without exposing private implementation information.
Context
The business worked in a technical B2B environment where market and industry developments could shape what the marketing team needed to understand, explain or respond to.
The recurring problem was familiar: useful developments were appearing all the time, but a marketer could easily spend the week starting from a blank page, collecting links without a clear priority or finding one interesting topic without knowing what to do with it next.
The solution was a scheduled weekly radar report that created a consistent starting point for research and marketing planning.
The original challenge
The business needed a repeatable answer to five practical questions:
- What are the most relevant developments to pay attention to this week?
- Why does each one matter to this business or its audience?
- Which sources and dates support the summary?
- What could the development become in marketing activity?
- What still needs a person to check before anyone acts on it?
Without that structure, research could remain a collection of links or become a one-off content idea with no clear route into a wider campaign.
What needed to change
The process needed to move from open-ended industry monitoring to a useful weekly decision aid.
The radar report therefore had a clear job. Each week it returned five relevant market developments, an executive summary of what mattered, supporting dates and sources, fact-check notes and possible marketing applications.
It was not intended to make the marketing decision automatically. Its job was to make the right questions and options visible early enough for a person to review them.
The weekly radar workflow
1. Set the weekly brief
The radar ran on a weekly schedule against a defined business and industry context. The scope was to find developments relevant to the business, not to summarise everything happening in the wider market.
That boundary mattered. A report that returns every possible update creates another research task. A report with a defined purpose can help a marketer decide what deserves attention.
2. Surface five relevant developments
The report returned five topics for the week. Each topic was selected for potential relevance to the business and its audience, rather than simply because it was recent or easy to find.
Five was a useful forcing function. It created a prioritised shortlist without pretending to be a complete view of the market.
3. Summarise the significance
The radar included an executive summary of the top developments. The summary answered the practical question: what has changed, and why might it matter to this business or its audience?
The point was not to repeat a headline. It was to give the reader enough context to decide whether a development deserved further attention.
4. Keep dates, sources and fact checks visible
Each development included dates and source links, together with fact-check notes. This made it possible to trace a summary back to the source and to see where a detail still needed checking.
The presence of a source link did not make the report automatically correct. A person still needed to open important sources, check that they supported the wording and consider whether the context had been lost.
5. Suggest the marketing applications
The report connected each development to possible marketing activity. Depending on the topic, it could suggest:
- a full campaign direction;
- social post ideas;
- a blog post angle; and
- other useful follow-up suggestions.
This was the part that made the radar actionable. It bridged the gap between knowing what was happening and deciding what the marketing team might do with that knowledge.
The suggestions were options, not an instruction to produce every output. The team still needed to choose what was relevant, timely, accurate and worth the effort.
6. Review and decide what moves forward
The weekly report became a starting point for human review. The reviewer checked the sources, challenged the summary, considered the audience and decided which developments were useful enough to turn into marketing work.
Some topics could become a campaign idea. Some might only need a short social post. Some would be kept for later, monitored for more evidence or rejected entirely.
Tools used
- ChatGPT
Where AI assisted
AI supported the repeatable middle of the weekly process by helping to:
- monitor the defined research scope;
- surface a shortlist of five developments;
- produce a concise executive summary;
- attach dates and source links;
- identify points that needed fact checking;
- suggest campaign, social and blog applications; and
- offer additional angles or follow-up questions.
The output was useful because these tasks were connected. Research, explanation and possible marketing action appeared in the same report instead of being left as separate jobs.
AI did not decide what the business should say, whether a source was trustworthy enough for a claim or whether a proposed campaign should go ahead.
Where human judgement remained necessary
Human judgement remained responsible for:
- Deciding whether the weekly scope was still relevant.
- Checking the original source behind an important point.
- Confirming that the date, wording and context were accurate.
- Deciding whether a development mattered to the intended audience.
- Choosing whether the idea deserved a campaign, social post, blog post or no output.
- Protecting private, personal, employer-specific or commercially sensitive information.
- Reviewing the final marketing work before approval or publication.
This is the practical human-led model: AI reduces the friction between research and possible action, but people remain responsible for the decisions.
The workflow in one view
| Stage | Working output | Human checkpoint |
|---|---|---|
| Weekly brief | Defined radar scope and context | Is the research question still useful? |
| Radar scan | Five relevant developments | Are these genuinely relevant, not merely recent? |
| Executive summary | Short explanation of what matters | Does the summary preserve the right context? |
| Evidence check | Dates, sources and fact-check notes | Does the original source support the point? |
| Marketing applications | Campaign, social, blog and other suggestions | Which option is worth pursuing? |
| Review | Selected topics, edits and open questions | What can be approved, held or rejected? |
| Reuse | Briefs and content routes for the week | What needs updating before reuse? |
How the work was reviewed
The review focused on whether the radar could support a responsible marketing decision, not simply whether the report looked polished.
The reviewer could ask:
- Are the five topics relevant to the business and audience?
- Is the executive summary supported by the cited source?
- Are the dates current and clear?
- Has a fact-check note identified a real uncertainty rather than creating false confidence?
- Does the suggested campaign, social or blog route follow from the development?
- Is the proposed action useful enough to justify the effort?
- Has any private or restricted material entered the report?
This kept the scheduled report as a decision aid rather than an automatic publishing line.
What the process made possible
The workflow made it possible to:
- start the week with a prioritised shortlist instead of a blank page;
- connect market developments to possible marketing actions;
- give campaign, social and blog planning a shared research base;
- keep dates, source links and fact-check notes close to the ideas they supported;
- decide which topics deserved further work and which did not; and
- reuse a checked development across more than one suitable output.
The results below focus on workflow efficiency and action, not commercial performance.
Limitations
Five topics cannot represent an entire market. A radar depends on the scope, sources and instructions used to produce it, and relevant developments may still be missed.
An executive summary is not a substitute for reading an important source. A fact-check note is a prompt for review, not proof that every claim is correct. The suggested campaign, social and blog routes are starting points, not a complete strategy.
The weekly schedule also does not remove the need for human approval. It creates a repeatable research input, but people still decide what is accurate, useful, safe and worth publishing.
Lessons learned
- A radar needs a clear job. “Find interesting industry news” is too open-ended. A useful report has a defined audience, scope and marketing purpose.
- A shortlist is more useful when it explains relevance. Five developments become easier to act on when the report says why each one might matter.
- Sources and fact checks make research usable. Dates and links help a reviewer trace the summary instead of accepting it because it sounds plausible.
- Marketing applications create the bridge to action. Campaign, social and blog suggestions turn research into options without pretending that every option should be used.
- Scheduling does not replace judgement. Automation can create a dependable starting point, but a person still owns interpretation, selection, tone and approval.
A practical takeaway for the reader
To build a small weekly radar, define six fields:
- The industry, audience and question the radar covers.
- Five developments worth reviewing this week.
- A short explanation of why each development matters.
- The publication date, source link and fact-check note for each one.
- Possible campaign, social, blog or follow-up applications.
- A human review decision: pursue, hold, monitor or reject.
Ask AI to produce the first structured report, but keep the reviewer responsible for checking the evidence and deciding what becomes marketing work.