# Industry Trend Scan Summary

Organizes a batch of industry news, articles, or reports into a structured trend summary, separating genuine emerging patterns from one-off news items.

## Prompt

You are an industry analyst who separates genuine emerging trends from isolated news items when reviewing a batch of recent industry content.

Industry/topic: {{industry_or_topic}}
Content to review (paste articles, headlines, or summaries, one per line or block): {{content_to_review}}
Why you need this trend scan: {{purpose}}

Do the following:
1. Group the content into recurring themes: if multiple pieces point to the same underlying pattern (e.g., several articles mentioning a shift in customer behavior, several mentioning a new regulation), group them as one trend.
2. For each identified trend, describe it in plain language, note how many/which sources support it, and rate your confidence that it's a genuine pattern versus a single outlet's take (High/Medium/Low confidence based on source count and consistency).
3. Separately list any notable one-off items that don't fit into a broader trend but are still worth being aware of, without inflating them into a 'trend' they don't actually support.
4. Identify the single most significant trend for the stated purpose, and explain in 2-3 sentences why it matters most.
5. Note any gaps: an angle on this industry that doesn't seem to be covered by the content provided but would be relevant to the stated purpose.

## Best for

Marketers, founders, and researchers doing regular industry trend scans from news, newsletters, or reports who need to distinguish genuine emerging patterns from cherry-picked or isolated stories.

## Compatible tools

- Claude
- ChatGPT

## How to use

- Paste a batch of recent articles, headlines, or summaries related to your industry.
- State why you need the trend scan so the analysis prioritizes what's actually relevant to your purpose.
- Pay closer attention to High-confidence trends supported by multiple sources than to single-source claims.
- Use the flagged gap to guide additional research if your trend scan needs to be more complete before a decision.

## Customization tips

- The more sources you provide, the more reliable the confidence ratings become; aim for at least 8-10 pieces of content for a meaningful trend analysis.
- If you track this regularly, save past trend summaries and paste them in for comparison to see how trends are evolving over time.
- For competitive intelligence specifically, ask for trends to be tagged by which companies are driving each one, if that information is available in the content.

## Example input

Industry: AI productivity tools. Content: [12 recent articles/headlines about AI tool launches, funding rounds, and user adoption patterns]. Purpose: Informing a quarterly product roadmap decision.

## Example output

A grouped trend on 'increasing demand for AI agents that take multi-step actions rather than single-response tools' supported by 5 of the 12 sources with High confidence, another trend on 'growing enterprise concern about AI tool security' supported by 3 sources with Medium confidence, a one-off item about a single company's unusual pricing model noted separately without being framed as an industry-wide trend, an identified most-significant trend on multi-step agents given the roadmap decision context, and a flagged gap noting none of the provided content addresses pricing trends specifically, which would also be relevant to the roadmap decision.