Job Board Signal Mining

What is job board signal mining?

Job board signal mining means reading job ads to find tasks that companies pay people to do by hand, again and again. Every job ad is a company admitting, in writing and with a salary attached, that a problem is big enough to hire for. When 30 ads in one industry list “manually reconcile invoices across systems”, you have found a problem with a budget.

This method answers the hardest early question in B2B (business-to-business) ideas: will anyone pay? Most problem-finding methods show you frustration, while job ads show you SPENDING. A company that pays a coordinator to chase paperwork for 15 hours a week already has a line in its budget for the problem; your product competes with part of a salary.

When should you use it?

• B2B software and services aimed at small and mid-sized companies, where one person does a lot of manual admin.
• Industries with repetitive back-office work: property management, logistics, healthcare admin, recruitment, construction, e-commerce operations, accounting firms.
• Checking a B2B idea you already have: search ads for the task your idea would remove and see how many companies hire for it.
• Skip it for consumer ideas (households don’t post job ads) and for tasks inside huge corporations, which buy through long procurement processes a first-time founder can’t win.

How do you do it, step by step?

1. Pick one industry and 2 or 3 job titles. Choose roles that sit between systems: administrators, coordinators, assistants, operations associates, data entry clerks. Say: property administrator, lettings coordinator, maintenance coordinator.

2. Search with task words and search operators. LinkedIn’s help center documents quotes for exact phrases, AND, OR and NOT in capital letters, and parentheses to group terms. Try:

   • "property administrator" AND spreadsheet
   • (coordinator OR administrator) AND manually
   • "data entry" AND invoices NOT intern
   • coordinator AND chase AND contractors Run the same words on at least one other big job board, like Glassdoor or the largest board in your country, because each has a different mix of employers. Most boards accept quotes for exact phrases.

3. Copy the responsibilities, line by line, into a sheet. Read 30 to 50 recent ads. For each one, paste every responsibility bullet that describes a repeated task. Add the company type, size if stated, location and the salary range when the ad lists one.

4. Highlight the task verbs. Mark the verbs that signal manual, repetitive work: update, enter, chase, reconcile, compile, copy, check, follow up, track, schedule, transfer. Bullets with those verbs plus a named system (“update tenant records in two systems”) are your strongest signals.

5. Group and count the tasks. Merge similar bullets into task themes and count how many different companies mention each. Our rule of thumb: a theme in a third or more of the ads is a pattern; one in 3 ads is noise.

6. Estimate what each company spends on the task. If an ad says the role spends about half its time on reconciliation, multiply half by the salary. When ads don’t say, estimate the share from the bullet list and mark it as a guess. This number becomes the ceiling of what a tool or service could charge. Keep it rough; the point is the order of magnitude.

7. Note the tools they already use. Ads list required software, like “experience with Excel, Xero and [property software] required”. Every tool listed is something your product must work with, and every tool listed next to a manual task shows where the current software stops.

What does a worked example look like?

Say Clara, a hypothetical former lettings agent, wants to build for small property management firms. She searches LinkedIn Jobs and a national job board for property administrators and maintenance coordinators and reads 40 ads posted in the past month.

Her task count:

The first and last themes are two sides of one problem: nobody knows where a repair stands, so the coordinator chases contractors by phone and then fields tenant calls about it. Clara’s rough estimate, using the salary ranges in the ads and assuming a third of the role goes to this, puts each firm’s yearly spend on repair chasing at several thousand euros. That is real money, already budgeted.

Her problem statement: Small property managers pay coordinators to chase repair updates by phone because contractors, tenants and landlords have no shared status. She now wants to watch a coordinator at work.

Which free tools help?

LinkedIn explains its operators in Use Boolean search on LinkedIn.

What mistakes should you avoid?

• Reading job titles instead of responsibilities. “Operations associate” means 20 different jobs. The bullets carry the signal.
• Planning to replace the whole person. Companies rarely fire someone for software. Aim to remove the worst 30% of the job so the person can do the rest better; that is an easier sale.
• Mining only big corporations. Their ads are long and generic, and they buy slowly. Small and mid-sized companies write concrete ads and decide faster.
• Ignoring repeat postings. The same role posted again and again by one company suggests people quit. Ask why in interviews; the manual task may be the reason.
• Forgetting the human who does the task. The person in the job is your future user and your best interviewee. The manager is your buyer. You need both.

How do you know it worked?

You have 30+ ads in a sheet, task themes with counts and a rough spend estimate for the top theme. Our rule of thumb for a GO: the top task appears in a third or more of the ads, involves a named system or spreadsheet, and the estimated yearly spend per company is several times what you imagine charging.

No-go: the tasks are varied and no theme passes a quarter of ads, or the work is mostly judgment calls (negotiating, advising) that a product can’t take over. Try a neighbouring job title or a different industry.

What should you do next?

Size the opportunity with bottom-up market sizing, using your spend estimate per company. Watch someone in the role do the task with contextual inquiry, then confirm buying intent with managers in problem interviews. To see what companies outsource for the same task, run freelance marketplace research. If you’d like to rehearse your B2B validation with an AI co-founder, the F/MS startup game is built for that.

FAQ

Which job boards work best for finding startup problems?

LinkedIn Jobs plus the largest general job board in your country cover most office and admin roles. Add a niche board for your industry if one exists, because small specialist employers post there and describe tasks in more detail.

What if ads don’t list salaries?

Use the ads that do as a range for the role and region, and mark estimates as guesses. You need an order of magnitude, enough to see whether a problem costs a company hundreds or tens of thousands a year.

Is job board signal mining only for software ideas?

No. Tasks you find can also become a productized service, where you do the work for a fixed monthly fee. Many founders start that way, learn the task deeply and automate later.

Updated 26 October 2026 · Written by the Fe/male Switch team

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