Clear reasoning

Structured thinking with numbers

Structured thinking with numbers means separating facts, assumptions, relationships, and judgment so you can see exactly which change moved the conclusion.

Live model

Change an assumption.
Read the consequence.

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Production modelLoading live evaluator
Editable source
# Is the higher salary worth the commute?
salary_monthly = 4500 in usd
work_hours_daily = 8
commute_hours_daily = 1
overhead_hours_daily = 1.5
workdays_monthly = 22
committed_hours = (work_hours_daily + commute_hours_daily + overhead_hours_daily) * workdays_monthly
real_hourly_rate = salary_monthly / committed_hours

Inputs

What the model needs

Question
Write the decision in one sentence before collecting numbers.
Known facts
Values you can verify today.
Assumptions
Uncertain values that need labels and ranges.
Relationships
The arithmetic connecting inputs to consequences.
Judgment
Non-numeric tradeoffs and the threshold for action.

Method

Formulas stay visible

result = known facts combined through explicit relationshipsscenario result = same relationships with changed assumptionsdecision rule = act only when the result and non-numeric conditions cross a stated threshold

Continuum keeps the authored source canonical. The full production template adds interpretation and a richer preview without hiding these relationships.

Worked example

Separate salary from time economics

  • $4,500 monthly salary
  • 8-hour workday
  • 1-hour commute
  • 1.5 hours recurring overhead
ResultThe role commits about 231 hours per month, producing a time-adjusted rate near $19.48.

The number does not decide whether the job is good. It prevents salary from hiding the time cost while growth, stability, and enjoyment remain explicit judgments.

01

Stress-test it

  • Label assumptions instead of presenting them as facts.
  • Change the input with the greatest plausible impact first.
  • Write down what the model deliberately excludes.
02

Use it when

  • Two options sound similar but have different consequences
  • A decision keeps circling around the same untested claim
  • You need to explain the reasoning to your future self or another person
03

Know the boundary

  • Not every value should be converted into money or a score.
  • Precision in arithmetic does not create certainty in assumptions.
  • The model should remain small enough to read and challenge.

Questions

Is structured thinking the same as a weighted decision matrix?

A matrix is one technique. Structured thinking is broader: it separates evidence, assumptions, relationships, and judgment before choosing a representation.

When should I use a spreadsheet instead?

Use a spreadsheet for large tables, repeated rows, and data-heavy analysis. Use a living calculation when the reasoning and changing assumptions are the main object.

Can qualitative tradeoffs stay qualitative?

Yes. Naming a tradeoff clearly is often more honest than assigning it an arbitrary score. Use numbers where measurement improves the decision.

Keep the reasoning

Turn this example into
your living model.

The full template opens as a local Continuum document. Edit every assumption, use the production preview, and keep the source.

Open structured thinking with numbers