RESEARCH / VERSION 2.0
Methodology
How Offline Observer turns task-level evidence into a career signal without pretending to predict layoffs.
The quiz weights eight self-reported answers equally across screen use, repetition, digital output, generation, physical work, trust, environment and accountability. It summarizes them in one of five broad bands. Work family changes recommendations only.
What is changing
- Eight equally weighted self-reported answers
- Five broad directional bands
- Work family used only for next-step recommendations
Where people still lead
- Not a probability of job loss
- Not a hiring or compensation decision
- Not a substitute for local labor-market evidence
What to build next
- Review sources at least annually
- Publish material method changes
- Add local data before making local claims
Keep moving with a useful next step.
Move from this signal to the industry, skill or tool that helps you act on it.
Source selection & update policy
How sources are chosen, what each source can support and when career pages are reviewed or corrected.
→02 / Career tools
AI task exposure self-check
A private, research-informed check of how exposed your current task mix is to generative AI.
→03 / Career tools
AI task exposure map
Separate the tasks AI can accelerate from the judgment, trust and physical work that still need you.
→04 / Skills to build
AI output review & quality control
The durable skill is not prompting alone; it is knowing when an output is wrong, incomplete or unsafe.
→05 / Skills to build
Accountable human judgment
Know when evidence is sufficient, what trade-off is acceptable and who must own the consequence.
→06 / Industry outlooks
Technology
AI is changing how products are designed, built, supported and measured—not only how code is written.
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