Undigitized-Sector Opportunity Matrix
Target high-revenue sectors with obsolete software and weak competitive outreach
- Difficulty
- Advanced
- Time to result
- ~months to results
- Steps
- 7
- Confidence
- 93%
This market-selection model uses two dimensions: how poorly digitized a sector remains and how much revenue exists within that niche. Founders look for industries still moving from manual or obsolete on-premise processes into weak SaaS products, especially where incumbents charge meaningful prices despite poor user experiences. They then observe the real workflow, identify repetitive capture and reporting tasks, and test whether voice, image capture, transcription, and structured generation can dramatically simplify the job. A second filter measures commercial neglect: if few vendors market or sell competently to the sector, a focused entrant can win with both a better product and merely solid outreach. The result is a prioritized niche where product modernization and underserved distribution reinforce each other.
Origin
Kieran Flanagan developed the idea after observing an inspector's manual workflow and antiquated reporting software, then discussing overlooked asbestos and survey businesses with Chris Koerner. Extracted from Marketing Against the Grain.
Core principles
- 01High-revenue sectors can remain technologically neglected
- 02Weak products and weak marketing often coexist in overlooked niches
- 03AI can compress reporting and field-data workflows
- 04Low competitive attention reduces the quality threshold for entry
- 05Domain-specific discovery matters more than generic technical novelty
How to run it
- 1
Map low-digitization sectors
List industries that still rely on paper, manual reports, dated desktop products, or awkward legacy SaaS.
Pro tip Look beyond fashionable technology markets into inspection, certification, maintenance, and field services.
Watch out Do not confuse an unattractive interface with a workflow that customers actually want replaced.
- 2
Filter for economic weight
Estimate the number of businesses, typical software spend, sector revenue, and frequency of the target workflow.
Pro tip Existing high license fees can validate willingness to pay.
Watch out A large parent industry may contain only a tiny addressable software niche.
- 3
Observe the work directly
Watch a practitioner capture notes, photos, measurements, approvals, and final reports from beginning to end.
Pro tip Ask which steps are repeated from scratch and which errors create rework.
Watch out Do not design from an outsider's assumptions about regulated work.
- 4
Inspect incumbent products
Review current software, pricing, customer complaints, integration constraints, and the reports users must produce.
Pro tip Distinguish genuinely required complexity from historical product baggage.
Watch out Legacy vendors may possess deep compliance features that a quick prototype lacks.
- 5
Score product and marketing neglect
Prioritize sectors where the software experience is poor and buyers receive little competent, personalized outreach.
Pro tip A niche underserved on both dimensions offers two independent ways to win.
Watch out Sparse outreach can signal a difficult buying process rather than an open market.
- 6
Prototype one compressed workflow
Build the smallest tool that converts field inputs such as speech and photos into a required structured output.
Pro tip Measure time saved on one complete report instead of showcasing generic AI features.
Watch out Human review may remain mandatory for safety, certification, or legal accountability.
- 7
Validate with focused outreach
Contact discoverable practitioners using accurate personalization and invite them to test the narrow workflow.
Pro tip Reference the buyer's actual specialty and reporting burden rather than leading with AI jargon.
Watch out Personalization must be truthful and compliant with applicable outreach rules.
In the wild
An inspector currently takes notes and photos in the field, then reconstructs a templated report inside expensive, antiquated software. A new tool captures spoken observations and images, maps them into the required fields, and prepares a draft for professional review.
→ The inspector spends less time rebuilding each report while retaining responsibility for verification and certification.
A founder discovers that asbestos contractors are easy to identify, use neglected tools, and receive little sophisticated outreach. The founder prototypes one reporting workflow and contacts a narrow group with messages based on their real services.
→ The startup tests both product demand and distribution efficiency in an overlooked vertical.
Common mistakes
Assuming a one-day prototype is complete
A quick AI interface may omit compliance rules, audit trails, integrations, and field reliability. Treat it as a workflow test, not a finished regulated product.
Targeting boring without revenue
Neglect alone does not make a market attractive. Confirm sufficient customers, spending, and recurring workflow value.
Ignoring practitioner knowledge
Specialized reports encode domain and regulatory expertise. Build with practitioners rather than replacing their judgment with generic generation.
Is it for you?
Best for
It is best for founders able to observe specialized workflows and build narrow B2B software around them.
Not ideal for
It is not ideal for teams unwilling to learn regulatory requirements, field operations, and niche customer language.
From the transcript
“And so I think one of the places you can look is if you have a two by two, like what sectors are the least…”
“So like the utopias that you can find underserved in terms of product and underserved in terms of marketing, you'll just print money.”
“I think I could like vibecode the AI version of that in a day.”
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