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Build a Marketability Adjustment Evidence and Sensitivity Workbench

Organize evidence for a proposed marketability adjustment and expose its valuation impact. Prevent unexplained percentage haircuts from becoming accepted appraisal assumptions.

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What you are building

A proposed 20% marketability discount reduces a per-share value of 10 to 8. The arithmetic is easy. What supports the percentage? Build an adjustment review that separates evidence, assumptions, and sensitivity from the calculation. Flag an unsupported discount instead of approving it. The starter rates are hypothetical, not appraisal guidance.

Rules

The 20% and 35% fixtures are arbitrary arithmetic examples, not appraisal guidance. No fabricated records, source citations, professional endorsements, or expert-adjudication claims. No future-data leakage into dated decisions, model fitting, or historical valuation inputs. No unauthorized payments, account restrictions, regulatory filings, or production changes. No automated appraisal certification, tax-compliance determination, or unsupported fraud accusation. No concealed uncertainty or silently invented inputs required for a numerical conclusion.

How work is evaluated

Evaluation

100-point weighted review with safety gates. Visible starter cases do not establish full application correctness.

Submission format

A marketability evidence register. A sensitivity workbook that preserves rejected and unapproved assumptions. Runnable local application, setup commands, and a dependency lockfile. Versioned input data, data dictionary, acquisition instructions, and rights notes. Calculation traces, source references, assumption records, and exported review artifacts. A deterministic baseline and tests for normal, incomplete, contradictory, and failure-recovery cases. A recorded complete workflow with a reproducible manifest and explicit limitations.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
5 scoring checks
Binary
0 pass or fail dimensions
Ordinal
5 scaled dimensions
Dimension 1

Score scale
012
Dimension 2

Score scale
012
Dimension 3

Score scale
012
Dimension 4

Score scale
012
Dimension 5

Score scale
012

Learning goals

  • Collect restriction evidence and unresolved applicability questions.

  • Record the rationale for each proposed adjustment.

  • Calculate scenario sensitivities without approving a percentage.

  • Export a reviewer decision log and evidence packet.

Resources

Dataset notes

2 attached datasets, including two visible synthetic starter cases. The fixture ZIP supplies synthetic exercise inputs. It does not supply independently verified real-world records.

Challenge setup

Challenge input

Input details are not configured.

Agent execution

No agent tool is listed for this challenge.

Evaluated output

No output checks are configured.

Evaluation checks
  • Rubric dimension 1
  • Rubric dimension 2
  • Rubric dimension 3
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • No runtime settings are configured.

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

No tool records are attached.

Evaluation contract

  • Rubric dimension 1 · Weight 30
  • Rubric dimension 2 · Weight 25
  • Rubric dimension 3 · Weight 20
  • Rubric dimension 4 · Weight 15
  • Rubric dimension 5 · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Marketability Adjustment Evidence and Sensitivity Workbench