The decision record

Anatomy of a decision record

One question, three options and a ₹10 lakh budget. This is the sample record from GodEngine's engine documentation, laid out entry by entry.

An illustration, not a customer case. The figures are the documentation's example. They are not advice about any machine, vendor or business, and not investment advice.

Entry 01

The request

Question: “Should we buy a CNC machine, lease one, or outsource machining over the next 2 years?”

Evidence
SourceEvidence
finance“We have a 10 lakh budget for this.”
vendor“Lease quote is ₹30,000 per month.”
cfoValue 10, unit lakh
Options
OptionUpfrontMonthlyUpsideRiskTime to start
Buy outright45 lakhnone0.9low2 months
Lease1.5 lakh30k0.6medium1 month
Outsourcenone25k0.35medium0.5 months

Constraint: budget “10 lakh”, counted by default as the total spend over the horizon.

Entry 02

Recommendation and alternatives

Scores of the three options in the sample record Lease scores 0.5756 and is recommended. Outsource scores 0.5408 and also fits the budget. Buy outright scores 0.3074 and breaks the budget. Scores rank the options; they are not probabilities. Lease 0.5756 recommended Outsource 0.5408 fits Buy 0.3074 over budget
Scores rank the options under these inputs. They are not probabilities.
Ranking
RankOptionScoreFits the limitsSpend over 24 months
1Lease0.5756Yes₹8,70,000
2Outsource0.5408Yes₹6,00,000
3Buy outright0.3074No: over budget₹45,00,000

Reasons as the record words them:

  • Lease: “Costs ₹8.70 lakh over 24 months, within the ₹10 lakh budget (87% of it).”
  • Buy outright: “Costs ₹45 lakh over 24 months, over the ₹10 lakh budget by ₹35 lakh.”

The record also lists its assumptions, for example: “Horizon of 24 months read from the question ("2 year").” Outsource's spend is ₹25,000 a month for 24 months.

Entry 03

The five assessments

Each answers a different question, so the record never blends them into a single figure, and none of them authorises anything.

Confidence

Did it understand the question?

intent: decision, 0.8
domain: financial, 0.71

Coverage

How much was given?

score: 0.758
grid given: 91.7%
cells defaulted: 1
freshness: not assessed

Uncertainty

How settled is it?

calibration: uncalibrated
method: scenario comparison
decisiveness: 0.43
score margin: 0.0348

Feasibility

Does it fit the limits?

status: feasible
fits: Lease, Outsource
Buy: over budget

Authorisation

May anyone act on it?

status: not authorised
executable: no

  • Coverage leaves freshness unassessed because the evidence carries no collection time.
  • The record's internal model confidence, 0.746, is labelled “an internal diagnostic, not a calibrated probability”.
  • On authorisation the record says: “A decision record is advice. Acting on it needs a separate authorization bound to an execution plan; this service grants none.”
Entry 04

Reversal conditions

Which option the sample record recommends at different budgets Schematic budget line. Below 8.70 lakh rupees, Outsource is recommended. From 8.70 lakh up to 45 lakh, Lease holds, and the record's own budget of 10 lakh sits in this band. At 45 lakh or more, Buy is recommended. Outsource Lease holds Buy < ₹8.70 L ₹8.70 L to ₹45 L ≥ ₹45 L Budget in the record: ₹10 L switch at ₹8.70 L switch at ₹45 L Budget rises →
Schematic, not to scale.
What would change the recommendation
IfThen
Budget rises to at least ₹45 lakhBuy outright becomes the recommendation.
Budget falls below ₹8.70 lakhOutsource becomes the recommendation.
Outsource's upside is at least 0.46Outsource overtakes Lease.

Read together with the narrow score margin of 0.0348, the third condition shows how close Lease and Outsource are. That is the record's honest answer to “how sure is it?”

Entry 05

What was modelled, and the housekeeping

Lease, as modelled
ItemValue
Upfront cost₹1,50,000
Monthly cost₹30,000
Total over 24 months₹8,70,000
Budget used87%
Within budgetYes
Weights used
DimensionWeight
Affordability0.2688
Upside0.3226
Risk0.3011
Speed0.1075
  • Horizon: 24 months, taken from the question. Currency: INR. Budget: ₹10 lakh, counted over the whole horizon.
  • Applicability limit: “Holds only for the 3 options given; an option not listed was not considered.”
  • Evaluation status: unevaluated, until an outcome is recorded against it.
  • AI review: disabled. Engine version: ge-decisions/1.1.0. The record carries a SHA-256 digest of its canonical inputs.