The Boring Industry Playbook
The industries where software gaps are most likely to exist aren’t the ones getting coverage on tech news. They’re the ones where the professionals involved have never been the target demographic for software marketing. Industries where the incumbent tools — when they exist at all — were built ten years ago by a single developer who was tired of doing the work manually.
Pest control. Pool and spa maintenance. Mystery shopping. Arborist tree risk assessment. Franchise compliance auditing.
These industries have software. They have workflows. They have professionals who produce structured outputs repeatedly. What they often lack is software that’s caught up with what AI can do for document-heavy workflows.
The challenge is that there are hundreds of these industries and most of them will turn out to be covered, too small, or wrong-fit. You need a research method that lets you move quickly through negatives to find the positives.
Here’s the three-signal method.
Signal One: The Direct Tool Search
Start by searching for the software that already exists. The query is: [industry] [workflow] software or [industry] report writing software.
The goal isn’t to find good software — it’s to establish whether modern AI-capable software exists at all.
What you’re looking for:
- G2 listings with recent reviews and ratings above 4.0
- Software with visible AI features (narrative generation, automated summaries, intelligent suggestions)
- Products actively marketed and recently updated
What’s worth investigating further:
- One tool with minimal reviews, no AI features, last updated before 2022
- Results dominated by generic document editors rather than purpose-built tools
- No results for “AI [workflow]” even though AI-assisted versions would be obvious
The absence of modern tooling is the first signal. But absence alone is noise — some industries have no software because the workflow doesn’t need it, the market is too small, or the buyer is an enterprise who builds custom.
Signal Two: The Excel Template Check
Search: [industry] [workflow] "excel template" or [industry] [output type] template download
An Excel template is professional evidence of an unsolved problem. When practitioners build, share, and download custom spreadsheets for a specific workflow, they’re documenting a gap between what software provides and what their work requires.
Strong signals:
- Multiple template providers competing for the same niche
- Templates with thousands of downloads and multiple version iterations
- Google Ads running against the template keywords (someone is paying for this traffic)
Weak signals:
- One generic template with low download counts
- Templates for data collection rather than report writing (data collection has different software dynamics)
Templates confirm the problem is real and recurring. They don’t confirm the buyer profile or the size of the market — just that practitioners have tried to solve this themselves and found an audience.
Signal Three: The Community Check
Search Reddit for r/[industry] or [industry] forum and look for discussions about workflow pain. Specifically: how long does this report take to write? What do practitioners wish software could do? What complaints show up repeatedly?
This signal is the hardest to evaluate because online communities don’t exist for every professional niche. Pest control operators are not heavy Reddit users. But where community discussions exist, they’re invaluable because they reveal whether the problem is painful enough that professionals complain about it — and whether existing tools are seen as adequate.
Look for:
- Posts asking for better templates, tools, or recommendations
- Complaints about how long reporting takes
- Practitioners sharing workarounds and manual processes
A community that actively discusses reporting workflow pain is qualitatively different from one where the topic never comes up. If professionals don’t think about their reporting workflow as a problem, they won’t evaluate a product that solves it.
How the Signals Combine
Run all three checks. The result matrix:
| Tool signal | Template signal | Community signal | Verdict |
|---|---|---|---|
| Modern AI tools exist | — | — | Skip |
| Old/no tools | Strong templates | Active complaints | Investigate deeply |
| Old/no tools | Weak templates | No complaints | Probably too small or pain isn’t there |
| Old/no tools | Strong templates | No community | Check buyer profile manually |
The combination of old/no software + strong template adoption + active community complaints is the pattern worth pursuing. Each of the three signals can be checked in ten to fifteen minutes. You can move through dozens of industries in an afternoon.
What This Method Misses
This method finds problems that professionals have articulated. It doesn’t find problems that practitioners experience but don’t discuss publicly or solve with visible workarounds. Some of the most interesting gaps are in professions where practitioners work in isolation, have limited online community presence, and have adapted to their workflow’s inefficiency so thoroughly they don’t think of it as a problem.
For those gaps, you need direct conversations — LinkedIn outreach, conference attendee lists, cold email to practitioners explaining that you’re researching their workflow.
The three-signal method is a filter, not a discovery mechanism. It lets you move through the obvious cases quickly. The gaps that survive it are worth the direct research that comes next.