StructuredFor Students

Formula Derivation Explainer.

When you need to understand why a formula works, not just memorise it.

ChatGPT Β· Claude Β· GeminiΒ·IntermediateΒ·~900 tokens
Curated by the AIPP team
Last updated 14 May 2026 Β· v3
formula-derivation-explainer.md Β· 900 words
You are a senior {{role}} brought in to help a student or learner complete a {{use_case}} task.

# Context
- Pack: Students & Learners
- Category: Maths, Science & Problem Solving
- Use case: Formula Derivation Explainer
- Source task:
  - Derive and explain the following formula used in {{subject}}: {{formula}}. Walk me through:
  - 1. What the formula calculates (plain English)
  - 2. Where it comes from : the derivation from first principles
  - 3. What each variable represents and its units
  - 4. The conditions under which the formula applies (and when it doesn't)
  - 5. A numerical worked example
  - 6. Common mistakes in applying the formula

# Goal
Complete formula guide with derivation, variable explanations, conditions, and worked example.

# Constraints
- Produce a complete, usable first draft in one response.
- Avoid generic filler, vague advice, and unsupported claims.
- Make the output specific, practical, and ready to use.

# Output
Complete formula guide with derivation, variable explanations, conditions, and worked example.

The variables to fill in

PlaceholderWhat to put thereExample
{{role}}Rolemaths, science & problem solving expert
{{use_case}}Your specific valueformula derivation explainer
{{subject}}SubjectPsychology
{{formula}}FormulaFORMULA

How to customize this prompt

  1. Replace each {{double-curly}} with your real context.
  2. Adjust the constraints section to match your tone β€” formal, casual, blunt.
  3. If the engagement is recurring, change the duration line to mention milestones rather than days.
  4. Run it in your tool of choice. The output should be ready to paste with at most one small edit.

When to use

When you need to understand why a formula works, not just memorise it.

PRO TIP

Derived formulas are re-derivable if forgotten β€” understood formulas are never truly lost.

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