
You are scrolling through LinkedIn search results. 487 profiles found.
“Senior Account Manager” — sounds good. But which company did she work at?
You click through. “TechFlow Solutions” it says. Never heard of it.
After 20 minutes you have reviewed 60 profiles. You recognise 4 out of 54 employers. The rest is guesswork.
This is Context Blindness. And it costs you hours every single day.
What is Context Blindness?
Context Blindness is the phenomenon where recruiters do not recognise 90% of the employers listed in LinkedIn profiles.
You can see:
- Job title: “Senior Sales Manager”
- Years of experience: “5 years”
- Skills: “B2B sales, account management, SaaS”
You cannot see:
- Was it a startup or a corporate environment?
- Consultative selling or transactional inside sales?
- Enterprise clients or SMB?
- Complex deals or high-volume?
Without that context, you simply cannot assess whether someone’s experience is relevant.
The impact: Why this leads to poor matches
Context Blindness causes three key problems:
1. You miss strong candidates
A profile shows “Account Manager” at an unknown scale-up. You skip it — it feels like a gamble. Later it turns out: exactly the right experience.
2. You select the wrong candidates
A profile looks solid. You invite them for an interview. Then it becomes clear: the candidate comes from an entirely different context. Time wasted.
3. You spend endless hours researching
Per profile: 3-5 minutes of research. Across 100 profiles: 5 hours.
The solution: Employer context analysis
SourceLens analyses employer context automatically. For every profile you see:
- Organisation type
- Industry and market
- Sales model and client segment
- Match score against your selection criteria
From 300-800 profiles down to 50-150 relevant candidates. Automatically.
Conclusion
Context Blindness is not a personal failing — it is a structural problem. Nobody can know thousands of companies. But with the right tools, you do not have to.
Want to see how SourceLens analyses employer context? Start a free trial or schedule a demo.
