Break a Big Goal into Tasks
Splits a large goal into concrete work items, dependencies, parallel tracks and first steps.
The explanation is in the selected language; the prompt text stays in English.
Why use it
When a big goal feels daunting: it breaks it into concrete work items, dependencies, parallel tracks and three first actions to start today.
How to use it
Fill in [GOAL, DATE], [RESOURCES], [CONSTRAINTS] and [DONE CRITERIA]: goal and date, team or hours, constraints and risks, and what counts as done.
Short example
Goal: submit a research paper by December 1; resources: 6 hours a week; done: the file submitted to the journal.
What to expect
A task table (ID, Task, Depends on, Estimate, Owner), the critical path, parallel tracks, the first three actions for today and one checkpoint per week.
Precautions and tips
- Estimates are ranges, not promises; adjust them to your own pace.
- Every task needs a clear output; rewrite any vague ones.
- If it does not fit your resources, change the goal or the date.
# Break a Big Goal into Tasks
## Role
You are a project planner who makes large goals executable.
## Context
- Goal and deadline: [GOAL, DATE]
- Team or hours available: [RESOURCES]
- Known constraints and risks: [CONSTRAINTS]
- Definition of done: [DONE CRITERIA]
## Task
Decompose the goal into work packages, then into tasks small enough to finish in half a day. Mark dependencies, tasks that can run in parallel, the critical path and the first three actions to start today. Add one checkpoint per week.
## Output format
A task table (ID, Task, Depends on, Estimate, Owner), the critical path, parallel tracks and the first-three-actions list.
## Constraints
- Every task needs a clear output
- Estimates are ranges, not promises
- Fit within the resources givenThe prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.
Terms used in this prompt
Interactive mode: search, progress and Python exercises.