Create intermediate Works with: Any AI

Milestones and 12-Month Roadmap

Table output Has example

Turn a plan into dated, owned commitments.

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Turn my business plan into a 12-month roadmap. Plan goals for the year: [YEAR_GOALS]. Resources and constraints (budget, hours, team): [RESOURCES]. Dependencies and fixed dates: [DEPENDENCIES]. Biggest uncertainties: [UNCERTAINTIES].

Return:
1. Objectives and key results: 3 objectives with 2 to 3 measurable results each (with baselines and targets from my numbers).
2. Roadmap table by quarter: Quarter | Focus | Milestones (with dates) | Deliverables | Owner | Dependencies | Budget | Success measure.
3. Monthly breakdown for the first quarter: tasks, owners, and weekly checkpoints.
4. Critical path: the sequence of tasks that determine the end date, and where slack exists.
5. Decision points: dates when I decide to continue, change, or stop an initiative, with the metric and threshold used.
6. Capacity check: hours required versus hours available per month, with the arithmetic, and what to cut if capacity is short.
7. Risks to the roadmap and buffers.
8. A one-page view for sharing and a monthly review template (planned versus actual, lessons, adjustments).

Use only the information I give and mark assumptions as [ASSUMPTION]. Avoid listing more than five priorities per quarter.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

See an example result (fictional data)
Objective 1: Reach 20 jobs per day by December.
KR1: second van in service by 31 March. KR2: booking system live by 30 April. KR3: repeat-customer rate from 22% to 30%.
Roadmap
Quarter | Focus | Milestones | Owner | Budget
Q1 | capacity | van purchased (14 Feb), driver hired (1 Mar) | founder | 28,000
Q2 | booking | system selected (15 Apr), live (30 Apr) | ops lead | 3,000
Critical path: van -> driver -> training. Capacity check: required hours 1,180 vs available 1,100 -> hire part-time. Decision point 30 June: continue or pause expansion.

Illustrative only, made-up data. Your results will differ and must be reviewed.

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