IssueSpace

The IssueSpace Methodology

How this assessment works — and what it cannot do

The problem

Most AI-and-jobs content is useless for your specific situation

Most information available to employees falls into two categories: statistical fear ("X% of jobs will be replaced") or motivational platitudes ("stay adaptable", "learn to code"). Neither helps you. Statistics describe populations, not your specific situation. A job-title replacement probability tells you nothing about your particular role, in your particular organisation, with your particular manager and colleagues. Platitudes describe an ideal outcome without a path to get there. "Be adaptable" is not an action. The question that actually matters is structural: given your specific role, in your specific organisation, with your specific management context — what does your situation actually look like right now?

The framework

What the 6 IssueSpace dimensions measure

Each dimension examines a different structural factor. Together they give a picture of your positioning that no single metric can. 01 · Domain Fit What proportion of your work requires genuine judgement that AI cannot yet replicate well? Has AI already started replacing specialists in your field, and with what quality? Domain fit distinguishes between "AI is discussed in your industry" and "AI is replacing your specific type of work." 02 · Technical Situation Two separate questions: your personal technical readiness, and your organisation's actual capacity to deploy AI systems. These often diverge significantly. A technically capable employee in a company with no implementation capacity faces a very different risk profile than the reverse. 03 · Leadership What has your direct manager actually communicated about your role specifically — not the company's public press releases, but the real conversations (or silences). Silence from management is itself a data point. 04 · Organisational Learning Does your organisation have a real track record of adapting to change, or is this transformation theatre — the announcements, the training catalogues, the AI task forces that produce nothing lasting? How an organisation has responded to past disruptions is a leading indicator of how it will respond to this one. 05 · Influence Are you inside or outside the circle where AI decisions are actually made? Not because proximity guarantees safety, but because it determines how much information you have access to, and how much agency you have to shape what happens to your role. 06 · Ethical & Regulatory Value Incoming AI regulation — the EU AI Act, sector-specific compliance rules — creates structural demand for certain kinds of professional expertise. Does your role sit inside or outside that zone of regulatory leverage?

The research

Where this framework comes from

IssueSpace was developed as part of doctoral research in management science, drawing on field work with organisations undergoing AI-driven transformation. The framework emerged from patterns observed across different industries and company sizes: the factors that most determined individual employee outcomes were rarely about raw technical skills alone, and much more about the organisational context those skills sat in. This is a practitioner framework built from observed cases — not a controlled experiment with certified predictive accuracy. It should be read as a structured, evidence-informed way to analyse your situation, not as a machine that outputs ground truth. No tool can tell you with certainty what will happen to your role. This one gives you a more rigorous way to think about where you actually stand.

Limitations

What this assessment cannot do

We think it matters to be explicit about this. This assessment cannot: — Predict what will happen to your role in 3–5 years. No one can, including the AI generating your report. — Account for factors it does not measure: personal relationships, informal organisational power, specific company politics, personal performance history. — Replace a direct conversation with your manager. If something needs to be said, say it. — Tell you what to do. It can tell you what the structural landscape looks like — the decisions are yours. It also relies on self-reported data. If you underreport your anxieties or overestimate your organisation's readiness, your results will reflect that. What it can do: give you a structured, multi-dimensional picture of your current position, identify which specific factors are working for or against you, and translate that into situation-specific starting points — not generic advice.

Transparency

How your report is generated

After completing the full 17-question assessment, your responses are sent to the Claude AI API (Anthropic). A structured system prompt based on the IssueSpace framework instructs the model to analyse your answers across 6 dimensions and produce a written diagnostic report. The model scores each dimension (1–5) based on your responses, writes a paragraph of analysis per dimension, generates a reframing statement, and produces 3 specific action recommendations tailored to your role, location, and company situation. The report is generated fresh for each user — it is not a template with filled-in blanks. But it is still an AI-generated text, and AI makes mistakes. Read it critically. If something doesn't ring true, it may not be. Your answers are stored to generate the report. They are not sold or shared with third parties. See our Privacy Policy for details.

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