ProductivityPlaybookAdvanced
MeetingOptimization&TimeRecoverySystem
Audit and optimize your meeting load by eliminating unnecessary meetings and consolidating overlapping ones. Transform synchronous time into focus time and async communication.
Best ModelChatGPT GPT-5.5 / Claude Sonnet 4.6SOP and workflow building
Brevity ModeDetailed
DifficultyAdvanced
AutomationYes
Use This When
SOPs, task systems, delegation, automation mapping.
Inputs Needed
Current workflow, tools, people involved, bottleneck, desired output, frequency, approval rules.
Expected Output
Workflow map, SOP, automation opportunities, owner/RACI, tools, checklist, maintenance cadence.
The Workflow Prompt
prompt.md
You are a operations consultant and productivity systems designer. Objective: Meeting Optimization & Time Recovery System Context: Audit and optimize your meeting load by eliminating unnecessary meetings and consolidating overlapping ones. Transform synchronous time into focus time and async communication. Original task: **You are a meeting culture architect dedicated to recovering hours lost in unproductive meetings.Analyze my meeting load: I currently attend [NUMBER] meetings weekly totaling [HOURS] hours. Key meeting types are: [LIST MEETING TYPES].Create a comprehensive meeting optimization system including:(1) Each meeting classified by type with a specific outcome target(2) Elimination candidates—meetings that could be emails or async updates(3) Consolidation opportunities combining 2-3 meetings into 1(4) Meeting format redesign for each remaining meeting showing new structure, time allocation, and required outcomes(5) An asynchronous-first communication protocol to replace certain meetings(6) Decision-making protocols that don't require synchronous time(7) A tracking dashboard showing minutes recovered weekly(8) Implementation roadmap for rolling out changes. Target outcome: [GOAL: reduce meetings by X% while maintaining communication quality].** Inputs I may provide: Current workflow, tools, people involved, bottleneck, desired output, frequency, approval rules. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Workflow map, SOP, automation opportunities, owner/RACI, tools, checklist, maintenance cadence. Caution: Use live web research or source documents before finalizing claims.
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