01 / VISIBILITY
Make weights explicit
BWM forces a structured conversation about which criteria truly drive the decision — with a consistency check the board can understand.
Best–Worst Method · CR index
High-stakes choices need more than intuition and more than raw data. This architecture makes the logic visible: weight what matters, rank what performs, test value for money, stress the ranking, and read the risk — before the board commits.
Weights stay implicit. Rankings are treated as final. Cost is confused with value. Nobody tests what happens if priorities shift by ten percent. This architecture was built to close those gaps.
BWM forces a structured conversation about which criteria truly drive the decision — with a consistency check the board can understand.
TOPSIS measures distance from the positive ideal and the anti-ideal. C* alone is never enough — D⁺ and D⁻ are read together.
Sensitivity, value engineering and risk views ask whether the winner survives weight shocks, cost pressure and evidence gaps.
A ranking is not a decision. A decision is a ranking you can still defend when the assumptions change.
A simplified live view of the same TOPSIS logic used in the full system. Adjust criterion importance and see the winner, closeness score, stability and robustness signal update instantly.
The full system chains established multi-criteria methods with managerial stress-tests: consistency, value, sensitivity and risk — then synthesizes a plain-language recommendation.
Not every executive wants to fill a spreadsheet of decimals. The performance matrix accepts classic 1–9 scores and linguistic shortcuts that map cleanly into the model. Fuzzy-style judgment becomes operational without forcing managers to learn set theory.
Intermediate values (2, 4, 6, 8) remain available for finer judgment. Benefit and cost criteria are handled differently so “lower cost” is not treated as weaker performance.
Two options can share a strong C* and still diverge on cost efficiency and fragility. The system surfaces that gap before commitment.
Value = Function / Cost. Even a TOPSIS leader can fail the value test if it is expensive relative to the performance it delivers.
| Status | Value Index | Managerial action |
|---|---|---|
| Optimal | VI > 1.2 | Maintain & benchmark |
| Acceptable | 0.8 – 1.2 | Monitor |
| Needs VE | < 0.8 | Cost or function workshop |
| Redesign | < 0.5 | Eliminate or rebuild |
Risk is treated as a composite of performance distance, ranking stability and value imbalance — not a single subjective label.
If stability falls below 50%, the architecture recommends not finalizing the decision until weights are restabilized or a more robust alternative is found.
Hundreds of random weight perturbations answer one board question: does the same option stay first?
Each criterion is scaled up and down to reveal which judgments can flip the ranking — those need real consensus.
Ranking, value, stability and risk are combined into a confidence-scored action: proceed, condition, or reopen the search.
Every weight, score and ranking step is visible. The board can audit the path, not only the conclusion.
Ready scenarios for hiring, suppliers, investment and capacity — editable criteria and alternatives in the same session.
One executive page: recommendation, confidence, weights, ranking, value and stability — without method jargon drowning the message.
Sensitivity and risk views invite dissent early, while change is still cheap.
Managerial selection, assessment centers, succession and HR value engineering all require multiple evidence streams. The architecture integrates them without collapsing a person into a single opaque score.
Competency, track record, cultural fit, retention risk and cost of attraction.
Structure evidence from exercises, interviews, simulations and psychometrics.
Make readiness assumptions and development priorities explicit and testable.
Connect HR functions, cost, contribution and strategic value in one view.
Parviz Zarei is a business neuroscience and HR strategist, management consultant and specialist in HR Value Engineering, focused on leadership development, managerial assessment, strategic HR, performance and structured decision-making. His work connects extensive experience in management development and assessment systems with multi-criteria methods designed to make consequential choices more transparent and challengeable.
The architecture is intended not to automate leadership, but to give leaders a stronger cognitive and analytical structure around decisions that are hard to reverse.
The diagrams below are original visualizations built for this page from published findings by McKinsey, Bain and Deloitte. They do not reproduce proprietary charts or claim endorsement.
57% reported consistently high-quality decisions, 48% reported speed, and only 37% reported both.
Read the McKinsey research →Sensing, framing, rigor, integrity and decision-maker support sit alongside pure analysis.
View Deloitte research →Measure quality, speed and effort — then target bottlenecks instead of relying on intuition alone.
Read the Bain report →Open the decision system, run a live scenario, or discuss how the architecture can be adapted to HR, investment, procurement, projects or strategic choices in your organization.