MurtaqaMBA Fit
AR
Murtaqa guide

MBA Fit Assessment Methodology

How the preference-based MBA fit assessment covers five dimensions, selects scenarios, determines an outcome, and uses personalization.

Assessment scope

The assessment covers Goal Clarity, Management Readiness, Quantitative Readiness, Commitment Capacity, Format and Return Fit. It reports only within this stated scope and does not infer unmeasured abilities.

Adaptive selection and coverage

The shared engine chooses the next eligible item from the track question bank while balancing coverage, current evidence, and the need to verify an uncertain boundary. A fixed seed makes the same technical scenario reproducible in automated tests.

Personalization questions describe goals, time, or preferences. They shape the explanation and plan but do not enter the knowledge score.

Quick and Full

  • Quick uses up to 12 questions and provides a directional reading.
  • Full uses up to 24 questions and gathers broader evidence.
  • Both modes use the same track contract and scoring model.
  • The report states the mode so a shorter result is not presented as more certain than its evidence.

How the result is formed

The engine summarizes the overall outcome, dimension outcomes, strongest dimension, primary gap, and any boundary or low-confidence condition. Internal estimates and numerical confidence remain hidden from the visible report and share payload.

Storage, sharing, and limits

  • This is a decision-support assessment, not an admission prediction.
  • It cannot verify school quality, scholarships, employment outcomes, or personal finances.
  • Program claims should be checked with schools, accreditors, alumni, and employers.
Primary references

Official sources

Links should be rechecked before a high-stakes decision.

Turn the guide into evidence

Choose your assessment depth

Use Quick for a directional reading or Full when you want broader evidence and a richer report.