Options Analysis — Building and Using a Decision Matrix
Part of Decision Making Skills · GCSE GCSE Geography revision
This deep dive covers Options Analysis — Building and Using a Decision Matrix within Decision Making Skills for GCSE Geography. Revise Decision Making Skills in Decision Making & Issue Evaluation for GCSE Geography with 15 exam-style questions and 20 flashcards. This is a high-frequency topic, so it is worth revising until the explanation feels precise and repeatable. It is section 5 of 15 in this topic. Use this deep dive to connect the idea to the wider topic before moving on to questions and flashcards.
Topic position
Section 5 of 15
Practice
15 questions
Recall
20 flashcards
📊 Options Analysis — Building and Using a Decision Matrix
Once you have identified the stakeholders and gathered the evidence, you need a structured way to compare the possible courses of action. A decision matrix is a tool used by planners, geographers, and governments to evaluate multiple options against multiple criteria simultaneously. It is not a magic answer machine — it is a thinking tool that ensures you assess every option by the same yardstick.
The Four Options — Wind Farm Case
Any complex decision typically has 3–4 genuine options. For the wind farm:
Building the Decision Matrix
The matrix scores each option against each criterion, then weights the criteria by importance. The weighting is the critical intellectual step — it forces you to state your priorities explicitly, which is exactly what the examiner wants to see.
| Criterion | Weight | Option A (20 turbines) | Option B (10 turbines) | Option C (Alt. site) | Option D (None) |
|---|---|---|---|---|---|
| Carbon saving / energy output | 30% | 9/10 | 6/10 | 3/10 | 0/10 |
| Community acceptance | 25% | 3/10 | 6/10 | 8/10 | 9/10 |
| Economic benefit to area | 20% | 9/10 | 5/10 | 2/10 | 1/10 |
| Environmental impact | 25% | 4/10 | 6/10 | 9/10 | 10/10 |
| Weighted total | 100% | 6.35 | 5.90 | 5.45 | 4.75 |
Weighted total = sum of (score × weight) for each criterion. E.g. Option A: (9×0.30) + (3×0.25) + (9×0.20) + (4×0.25) = 2.70 + 0.75 + 1.80 + 1.00 = 6.25. These weights reflect a priority on hitting carbon targets and economic benefit to the area.
What the Matrix Tells You — and What It Does Not
The matrix suggests Option A scores highest — but this does not automatically make it the right answer. A decision matrix is only as good as the weights you choose. If the community accepts a decision through a legitimate, consultative process, they are far more likely to support future renewable energy projects. A 58% opposition rate against Option A could lead to years of legal appeals that delay carbon savings anyway. A geographer does not accept the matrix output blindly — they interrogate it, challenge the assumptions, and explain why the weighting choices are defensible.
This is exactly the kind of thinking the examiner is looking for in a Level 3 answer.
Quick Check: A decision matrix awards Option A the highest score, but a student recommends Option B instead. Is this acceptable? Explain your answer.
Yes — this is completely acceptable, and may even score more highly than simply following the matrix output. A decision matrix reflects the weightings chosen by the person who built it. If the student can justify why those weightings should be different (e.g. arguing that community acceptance deserves a higher weight because local opposition will cause legal delays that undermine the carbon saving argument), then recommending a different option shows sophisticated geographical reasoning. The examiner rewards justified decisions, not just matrix outputs. The key is to explicitly acknowledge the matrix result, explain why you disagree with the implied weighting, and justify the alternative choice with specific evidence.