WF-19 · MBA Reapplicant · 5 Steps

MBA Ding →
Comeback Planner

Dinged this cycle? Turn the rejection into a plan. Diagnose which profile gaps actually cost you the admit, choose reapply vs. take-the-offer vs. walk-away by expected value, rebuild the test score, restructure the school list with honest probabilities, then fund the comeback — reapplicants skew R1, and R1 is where the scholarship money is.

All calculations run locally · Zero PII transmitted · Policy-Mandate-exportable at each step

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Step 1 · AL-70 · MBA Reapplicant EV Engine — Improvement Portfolio

Diagnose the Ding — Which Fixes Buy the Most Admit Probability?

Full tool: AL-70 ↗

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Test Score vs. School Median

Work Experience Arc

Essays / Story Quality (Honest Read)

Interview Outcome Last Cycle

Hours Available for Improvement (next 6 mo)

hrs

Budget for Improvement ($)

Improvement Portfolio — Admit-Probability Lift per Fix

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Highest-leverage fix: —. Now decide whether the comeback is even worth it — Step 2.

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Step 2 · AL-70 · MBA Reapplicant EV Engine — Path Comparison

Reapply, Take the Admit in Hand, or Walk Away — By Expected Value

Full tool: AL-70 ↗

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Value of Target-School MBA to You ($, NPV)

Admit Prob — Reapply Improved (%)

Reapplicants with visible improvement admit at near-first-time rates

Do You Hold an Admit From a Lower-Choice School?

Value of the In-Hand Admit ($, NPV)

Cost of Waiting a Cycle ($, lost year + fees + prep)

Value of No-MBA Path ($, NPV of staying put)

Path Expected Values

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Best path: —. If you're reapplying, the score is the first thing adcoms re-check — Step 3.

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Step 3 · AL-51 + AL-56 · Retake EV → GMAT vs. GRE Switch

Rebuild the Test Score — Retake, and on Which Test?

Full tools: AL-51 ↗ · AL-56 ↗

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Admit Prob — Current Score (%)

Admit Prob — Improved Score (%)

P(Reaching Target Score) (%)

Reapplicants with a full prep cycle typically beat first-attempt gains

Retake + Prep Cost ($)

MBA Value at Stake ($, from Step 2)

Quant or Verbal Stronger? Verbal-leaning candidates often percentile higher on the GRE

Retake EV & Test-Switch Read

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Test plan: —. With the score path set, rebuild the school list honestly — Step 4.

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Step 4 · AL-52 · MBA Application Portfolio Optimizer

Rebuild the School List — Honest Tier Probabilities This Time

Full tool: AL-52 ↗

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# Reach Schools (M7 / dream)

Admit Prob per Reach (%)

# Target Schools (T15–25)

Admit Prob per Target (%)

# Safety Schools (T25–50)

Admit Prob per Safety (%)

Portfolio Outcome Probabilities

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P(at least one admit): —. Now fund the comeback — round timing and negotiation, Step 5.

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Step 5 · AL-63 · MBA Scholarship Strategy Engine

Fund the Comeback — R1 Timing & Scholarship Negotiation EV

Full tool: AL-63 ↗

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Application Round Plan Reapplicants skew R1 — it signals decisiveness and catches full scholarship budgets

Expected Scholarship Base ($, total)

Competing Offer You Expect to Hold ($)

Preferred School Tier

Funding Plan Summary

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Comeback plan complete. Diagnosis → path EV → score rebuild → school list → funding. The ding is now a data point, not a verdict.

Get Reapplication Guidance →

MBA Ding →Comeback Planner

MBA Ding →
Comeback Planner