Chapter 16: Propensity Analysis (AHP)

Chapter 16: Propensity Analysis (AHP) — ThinkNavi User Manual

Chapter 16: Propensity Analysis (AHP)

A decision-support tool using AHP (Analytic Hierarchy Process). Access by clicking “Propensity Analysis” in the sidebar.

16.1 What Is AHP?

AHP is a decision-making methodology for comparing and evaluating multiple alternatives based on multiple criteria (evaluation dimensions). It quantifies relative importance between criteria through pairwise comparison, enabling objective scoring.

16.2 Four Steps

Switch between four steps using tabs at the top:

  1. Setup → 2. Weighting → 3. Evaluation → 4. Results

16.3 Step 1: Setup

Setting Evaluation Dimensions (Criteria)

Define the criteria for evaluation.

Operations:

  1. Enter criteria names in the text input (e.g., “Creativity”, “Logic”, “Execution”, “Empathy”, “Strategy”)
  2. Click “+” or press Enter to add
  3. Remove unwanted criteria with the trash icon

Default Criteria:

  • Logic & Analysis
  • Strategic Vision
  • Creativity
  • Empathy & Communication
  • Execution

Setting Targets/Actions (Alternatives)

Define the targets for evaluation.

Operations:

  1. Enter target names in the text input (e.g., “Plan A”, “Plan B”, “Status Quo”)
  2. Click “+” or press Enter to add
  3. Remove unwanted targets with the trash icon

Default Target:

  • Current Thinking Pattern

After setup, click “Next: Weighting” at the bottom.

16.4 Step 2: Weighting

Set relative importance of each evaluation dimension through pairwise comparison.

Screen Display:

  • Pairs of criteria are displayed with sliders
  • All pairs are compared in sequence (N criteria → N×(N-1)/2 comparisons)

Slider Operations:

  • Center (0): Both criteria equally important
  • Move right: Right criterion more important (up to 9×)
  • Move left: Left criterion more important (up to 9×)

Dynamic Text Display:

Moving the slider shows text like “Creativity is 3.0 times more important than Logic.”

Calculation Method: Geometric Mean Method is used. Geometric mean of each criterion is calculated from the comparison matrix and normalized to derive weights.

After all pairs are compared, click “Next: Evaluation.”

16.5 Step 3: Evaluation

AI automatically evaluates each target on each criterion with a 0-10 score.

Operations:

  1. Click the “Run AI Analysis” button (with brain icon)
  2. AI begins analysis (~2 seconds)
  3. During processing, brain icon pulses and progress bars appear on each target card
  4. After completion, each target card shows all criteria scores (0-10) as horizontal bar graphs

Reading Scores:

  • 0-3: Low (low capability/aptitude for that criterion)
  • 4-6: Moderate
  • 7-10: High (high capability/aptitude for that criterion)

After all target scores are displayed, click “Next: Results.”

16.6 Step 4: Results

View analysis results with three types of charts.

Propensity Profile (Radar Chart)

Visualizes each target’s criteria scores as polygons.

  • Each axis represents one criterion
  • Center (0) to perimeter (10) shows score magnitude
  • Multiple targets overlap for easy comparison of tendencies

Dimension Importance (Horizontal Bar Chart)

Importance percentage of each criterion derived from Step 2 weighting.

  • Totals 100%
  • Longer bars indicate more important criteria

Overall Score (Horizontal Bar Chart)

The final ranking.

Formula: Overall Score = Σ (Criterion Score × Criterion Weight)

Each target’s overall score is displayed as a bar graph, with the highest-scoring target being the recommended choice.

16.7 Troubleshooting

IssueCause and Solution
Results not displayedVerify Steps 1-3 are all completed. Specifically, “Run AI Analysis” in Step 3 is required
Radar chart is triangularThis is normal when only 3 criteria are set. Setting 4+ criteria makes it more readable
“Next” button is disabledCurrent step inputs are incomplete. Check that at least one criterion and one target are set
All scores are the same valueAI evaluation may be uniform. Make target descriptions more specific and re-run