ChatGPT Prompts for Operations Managers
Thirty battle-tested prompts to standardize processes, track the right KPIs, plan capacity, manage vendors, resolve incidents, and keep your team aligned.
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.
Process & SOPs
5 promptsDraft a Standard Operating Procedure
1/30✨ What it does
ChatGPT writes a complete SOP for [PROCESS] owned by [TEAM], with purpose, roles, steps, and exceptions. Walk it with the people who do the work, then publish it as your handoff version.
<context> You are an operations excellence specialist documenting repeatable processes. The process to document is: [PROCESS]. It is owned by [TEAM] and currently lives only in people's heads. </context> <task> 1. Write a complete SOP with these sections: Purpose, Scope, Roles & Responsibilities, Prerequisites, Step-by-Step Procedure, Quality Checks, Escalation Path, and Revision History. 2. Number every procedural step and write each as an imperative action verb (e.g. 'Verify', 'Submit', 'Approve'). 3. Flag any step where a hand-off between people occurs and name the responsible role. 4. Add a 'Common Mistakes' callout listing 3 errors new staff make and how to avoid them. 5. Keep language plain enough for a new hire on day one to follow without help. </task>
Pro tip: Paste an existing rough checklist or Slack thread describing the process first, then ask ChatGPT to formalize it into the SOP structure.
Audit an existing process for waste
2/30✨ What it does
ChatGPT maps each step of [PROCESS] to a waste type and redesigns a leaner flow with time saved. Cut the wasted steps in your workflow, then time the new path once.
<context> You are a Lean/Six Sigma analyst reviewing a workflow for inefficiency. The process is: [PROCESS]. Below this prompt I will paste the current step list. </context> <task> 1. Map each step to one of the 8 wastes (defects, overproduction, waiting, non-utilized talent, transportation, inventory, motion, extra-processing). 2. Identify the 3 steps that add the most delay or rework and explain why. 3. Propose a streamlined version of the process with redundant or low-value steps removed or merged. 4. Estimate the time saved per cycle and per week, stating your assumptions. 5. List the risks of each change and a safeguard for each. </task>
Pro tip: Ask ChatGPT to output the before/after process as a two-column table so you can drop it straight into a review deck.
Convert tribal knowledge into a runbook
3/30✨ What it does
ChatGPT gives 12 interview questions to pull decision points out of [PROCESS] before someone on [TEAM] leaves, then a runbook structure for the answers. Run the interview, then fill the runbook from what they told you.
<context> You are a documentation lead capturing undocumented expertise before a key person on [TEAM] leaves. The recurring task is: [PROCESS]. </context> <task> 1. Generate 12 interview questions I can ask the subject-matter expert to extract every decision point, exception, and edge case. 2. Group the questions by phase: setup, normal flow, exception handling, and recovery. 3. After I paste the expert's answers, assemble them into a runbook with triggers, decision trees, and 'if X then Y' rules. 4. Mark any answer that is ambiguous or incomplete and list the follow-up question needed. </task>
Pro tip: Run this in two turns: get the questions, gather answers offline, then paste them back in the same chat so ChatGPT keeps full context.
Standardize an onboarding checklist
4/30✨ What it does
ChatGPT builds a 30-60-90 checklist for joining [TEAM] on [PROCESS], split into access, training, shadowing, and first solo tasks. Assign each owner and hold the check-ins on your calendar.
<context> You are an operations manager standardizing how new members join [TEAM]. The role being onboarded is responsible for [PROCESS]. </context> <task> 1. Build a 30-60-90 day onboarding checklist split into Access & Tools, Training, Shadowing, and First Independent Tasks. 2. For each item, assign an owner (manager, buddy, IT, or new hire) and a due day. 3. Add a competency self-assessment the new hire completes at day 30 and day 90. 4. Include three 'red flag' signals that the onboarding is off track and what to do about each. </task>
Pro tip: Tell ChatGPT your exact tool stack so the Access & Tools section lists the real systems instead of generic placeholders.
Write a process change communication
5/30✨ What it does
ChatGPT writes a change announcement, FAQ, and short versions for the new way [PROCESS] works for [TEAM]. Pick the version for each audience and send it before your cut-over date.
<context> You are rolling out a change to how [PROCESS] is done and need to communicate it to [TEAM] and stakeholders. I will describe the old way and the new way below. </context> <task> 1. Write a clear change announcement covering: what is changing, why, what stays the same, the cut-over date, and who to contact with questions. 2. Produce a short FAQ of the 5 questions people are most likely to ask. 3. Draft a one-line summary suitable for a Slack header and a longer version for email. 4. Keep the tone reassuring and emphasize the benefit to the reader, not just the org. </task>
Pro tip: Ask ChatGPT to rewrite the announcement at a 7th-grade reading level to maximize comprehension across the whole team.
KPIs & Dashboards
5 promptsDefine KPIs for a function
6/30✨ What it does
ChatGPT proposes 6-8 KPIs for [PROCESS] on [TEAM] across efficiency, quality, cost, and customer experience, with formulas and gaming warnings. Pick the set you will actually track and set targets.
<context> You are an operations analyst defining a measurement framework. The function to measure is [PROCESS], owned by [TEAM]. The business goal is to improve throughput and quality without raising cost. </context> <task> 1. Propose 6-8 KPIs spanning efficiency, quality, cost, and customer-experience dimensions. 2. For each KPI give: a one-line definition, the exact formula, the data source, the reporting cadence, and a sensible starting target. 3. Distinguish leading indicators from lagging indicators. 4. Warn me about any KPI that is easy to game and suggest a counter-metric to balance it. </task>
Pro tip: After it lists the KPIs, ask ChatGPT which 3 you should put on an executive one-pager versus keep for internal ops review.
Build a weekly ops dashboard spec
7/30✨ What it does
ChatGPT specs a weekly ops dashboard layout for [TEAM], including which metrics sit on top and how to visualize each. Hand the spec to whoever builds your board and confirm the live numbers.
<context> You are designing a weekly operations dashboard for [TEAM]. The KPIs we already track are listed below this prompt. </context> <task> 1. Recommend a dashboard layout that surfaces status at a glance: which metrics go top-row, which go in detail panels, and why. 2. For each metric, recommend the best visualization (trend line, gauge, bar, table) and a red/amber/green threshold. 3. Specify the time comparisons to show (week-over-week, vs target, rolling 4-week average). 4. List the data refresh schedule and who owns keeping each source current. </task>
Pro tip: Tell ChatGPT whether you build in Looker, Power BI, or Sheets so the visualization advice matches what your tool can actually render.
Explain a KPI movement
8/30✨ What it does
ChatGPT ranks likely causes for the move in [PROCESS] for [TEAM] and lists what to check to confirm each one. Pull those extra numbers, then act on the cause you can prove.
<context> You are an operations analyst investigating why a metric moved. The KPI is [PROCESS] and it changed materially this period for [TEAM]. I will paste the recent numbers below. </context> <task> 1. List the most likely root causes for the movement, ranked by probability. 2. For each cause, state the additional data I should pull to confirm or rule it out. 3. Identify whether the change is signal or noise given the volatility in the numbers. 4. Recommend the single next diagnostic step and the question it answers. </task>
Pro tip: Paste at least 8-12 periods of data, not just two points, so ChatGPT can judge whether the move exceeds normal variation.
Set OKRs from operational goals
9/30✨ What it does
ChatGPT writes one quarterly objective and 3-4 quantified key results for [TEAM] to make [PROCESS] faster and more reliable. Lock the baselines, then review progress with your team each month.
<context> You are an ops leader translating a quarterly goal into measurable objectives for [TEAM]. The high-level goal is to make [PROCESS] faster and more reliable. </context> <task> 1. Write 1 clear Objective and 3-4 Key Results that are quantified, time-bound, and outcome-based (not task lists). 2. For each Key Result, state the current baseline, the target, and the metric source. 3. Flag any Key Result that depends on another team and name the dependency. 4. Suggest a mid-quarter checkpoint metric that predicts whether each KR will land. </task>
Pro tip: Push back if ChatGPT writes KRs that are activities; reply 'rewrite these as outcomes' until each one measures a result.
Create a metric definitions glossary
10/30✨ What it does
ChatGPT writes a canonical definition, formula, and unit for each metric [TEAM] uses to count [PROCESS], and flags any two that collide. Publish the glossary and settle arguments with that wording on your team.
<context> You are standardizing how [TEAM] talks about performance so everyone counts [PROCESS] the same way. I will paste the metrics currently in use below. </context> <task> 1. For each metric write a single canonical definition, the precise formula, included and excluded cases, and the unit. 2. Highlight any two metrics that are commonly confused and write a sentence distinguishing them. 3. Note where the same metric currently has conflicting definitions across teams and propose the one to adopt. 4. Output the result as a glossary table sorted alphabetically. </task>
Pro tip: Ask ChatGPT to add an 'owner' column so each definition has a person accountable for keeping it accurate.
Capacity & Resource Planning
5 promptsForecast capacity needs
11/30✨ What it does
ChatGPT calculates capacity versus demand for [TEAM] on [PROCESS] for the next three months and recommends staffing. Check the assumptions against your paste, then request the headcount you need.
<context> You are an operations planner forecasting whether [TEAM] can absorb upcoming demand for [PROCESS]. I will paste current headcount, throughput rates, and the demand forecast below. </context> <task> 1. Calculate current capacity, projected demand, and the gap for each of the next 3 months. 2. State your assumptions explicitly (utilization rate, ramp time, shrinkage for leave and meetings). 3. Recommend whether to hire, redistribute work, or improve process, with the trade-offs of each. 4. Identify the month where the gap first becomes critical and the lead time needed to act. </task>
Pro tip: Give ChatGPT a realistic utilization figure (often 70-80%, not 100%) so the forecast does not overstate how much work the team can actually take.
Build a staffing schedule
12/30✨ What it does
ChatGPT proposes a shift schedule for [TEAM] covering [PROCESS] that follows the demand curve and rest rules. Publish the roster and name the backup for each gap on your team.
<context> You are scheduling [TEAM] to cover [PROCESS] across operating hours. I will paste the demand-by-hour or demand-by-day pattern and the available staff below. </context> <task> 1. Propose a shift schedule that matches staffing to the demand curve while honoring break and rest rules. 2. Highlight any hours that are over- or under-staffed and the cost of each. 3. Build in coverage for one unplanned absence without breaking SLAs. 4. Present the schedule as a grid of people by time slot. </task>
Pro tip: State any hard constraints up front (max consecutive days, required certifications per shift) so ChatGPT does not propose an illegal or non-compliant roster.
Prioritize a backlog under constraints
13/30✨ What it does
ChatGPT scores the backlog for [PROCESS] by impact, urgency, effort, and delay risk, then sequences do, defer, and drop for [TEAM]. Take that sequence into your sprint planning and cut what will not fit.
<context> You are an ops manager with more work than capacity for [PROCESS]. [TEAM] can complete a limited number of items this sprint. I will paste the backlog with effort and impact estimates below. </context> <task> 1. Score each item using a weighted model (impact, urgency, effort, risk of delay) and show the scores. 2. Recommend what to do now, what to defer, and what to drop entirely. 3. Flag any low-effort high-impact 'quick wins' to pull forward. 4. Note any dependencies that force a particular sequence. </task>
Pro tip: Ask ChatGPT to expose the scoring weights it used so you can adjust them and re-rank without redoing the whole analysis.
Plan resources for a project
14/30✨ What it does
ChatGPT breaks the project that touches [PROCESS] into workstreams with person-days and a week-by-week allocation from [TEAM]. Assign names to those days and watch the overloaded weeks on your plan.
<context> You are resourcing a project that touches [PROCESS] and requires people from [TEAM]. I will describe the deliverables, timeline, and available skills below. </context> <task> 1. Break the project into workstreams and estimate the effort (person-days) for each. 2. Map required skills to available people and flag any skill gap. 3. Build a week-by-week resource allocation showing who works on what and at what percentage. 4. Identify the over-allocated weeks and propose how to smooth the load. </task>
Pro tip: Tell ChatGPT each person's realistic project availability (e.g. 50% because of BAU duties) so the allocation does not assume full-time focus.
Model a what-if scenario
15/30✨ What it does
ChatGPT recalculates throughput, utilization, and service level for [PROCESS] under your scenario versus the [TEAM] baseline, and names the breaking point. Choose a mitigation before you accept the change.
<context> You are stress-testing capacity for [PROCESS] under a change. The baseline numbers for [TEAM] are below. The scenario to model is described after them. </context> <task> 1. Recalculate throughput, utilization, and SLA attainment under the scenario. 2. Compare baseline vs scenario side by side and quantify the delta. 3. Identify the breaking point: at what demand or staffing level does the operation fail its SLA. 4. Recommend the cheapest mitigation that keeps the SLA intact. </task>
Pro tip: Run several scenarios in one chat (best case, expected, worst case) so ChatGPT keeps a consistent model and you can compare outputs directly.
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Vendor Management
5 promptsDraft a vendor RFP
16/30✨ What it does
ChatGPT writes a full RFP for [VENDOR] services that support [PROCESS], including must-haves, service levels, pricing format, and a scoring rubric. You send it to suppliers and score replies on that rubric.
<context> You are sourcing a new supplier for [VENDOR] services to support [PROCESS]. I will describe our requirements and constraints below. </context> <task> 1. Write a complete RFP with: background, scope of work, requirements (must-have vs nice-to-have), service levels, pricing format requested, evaluation criteria with weights, and timeline. 2. Include 10 specific questions that reveal whether a vendor can actually deliver, not just claim to. 3. Add a scoring rubric I can use to compare responses objectively. 4. Flag any requirement that vendors commonly struggle with so I can probe it in detail. </task>
Pro tip: Ask ChatGPT to turn the requirements into a yes/no compliance matrix vendors must fill in, making side-by-side comparison trivial.
Build a vendor scorecard
17/30✨ What it does
ChatGPT designs a quarterly scorecard for [VENDOR] on [PROCESS] for [TEAM], with quality, timeliness, cost, and partnership targets. Fill it each quarter and trigger a review when a target slips on your watch.
<context> You are setting up ongoing performance reviews for [VENDOR], who delivers [PROCESS] for [TEAM]. I will paste the contract SLAs below. </context> <task> 1. Design a quarterly vendor scorecard covering quality, delivery/timeliness, responsiveness, cost adherence, and partnership. 2. For each dimension give a measurable metric, a target tied to the SLA, and a 1-5 rating scale anchored with descriptions. 3. Recommend a weighting that reflects what matters most for this service. 4. Define the score thresholds that trigger a corrective-action conversation or contract review. </task>
Pro tip: Have ChatGPT pre-fill the scorecard with your real SLA numbers so the targets are contractual facts, not generic placeholders.
Prepare for a vendor negotiation
18/30✨ What it does
ChatGPT prepares a negotiation brief for [VENDOR] on [PROCESS] with must-win objectives, leverage, positions, and rebuttals. Walk into the renewal with those positions and concede only the extras you planned.
<context> You are negotiating a renewal with [VENDOR] for [PROCESS]. I will paste the current terms, our usage, and pain points below. </context> <task> 1. Identify our top 3 negotiation objectives and rank them must-win vs nice-to-have. 2. List our sources of leverage and the vendor's likely sources of leverage. 3. Draft target, acceptable, and walk-away positions for price and key terms. 4. Anticipate the vendor's 4 most likely objections and write a response to each. </task>
Pro tip: Ask ChatGPT to role-play as the vendor's account manager and push back on your asks so you can rehearse before the real call.
Review a vendor contract for risk
19/30✨ What it does
ChatGPT summarizes obligations in the [VENDOR] agreement for [PROCESS] and flags operational risks with suggested redlines for legal. Send those flags to counsel before you let anyone sign.
<context> You are reviewing a [VENDOR] agreement covering [PROCESS] before signing. I am not a lawyer and will get legal sign-off, but I need an operational risk read. I will paste the key clauses below. </context> <task> 1. Summarize the obligations on us and on the vendor in plain language. 2. Flag clauses that create operational risk: auto-renewal, weak SLAs, liability caps, data handling, termination notice, price-escalation. 3. For each flagged clause, state the risk and a suggested redline or question for legal. 4. List anything important that is missing from the contract entirely. </task>
Pro tip: Remind ChatGPT this is operational triage, not legal advice, and route every flagged clause to your actual legal team before signing.
Write a vendor escalation
20/30✨ What it does
ChatGPT writes a firm escalation email to [VENDOR] about [PROCESS] failures affecting [TEAM], plus a short internal summary. Attach the dates, then send the email and brief your leadership.
<context> You are escalating a recurring service failure with [VENDOR] affecting [PROCESS] and [TEAM]. I will describe the timeline of issues and the business impact below. </context> <task> 1. Write a firm but professional escalation email that states the facts, the SLA breaches, and the business impact with dates. 2. Make a specific, measurable ask and a deadline for the vendor to respond. 3. State the consequence if the issue is not resolved, without burning the relationship. 4. Provide a short internal summary for my leadership covering status, impact, and next step. </task>
Pro tip: Give ChatGPT the exact dates and ticket numbers; specific evidence makes the escalation far harder for the vendor to dismiss.
Issue & Incident Resolution
5 promptsRun a structured incident triage
21/30✨ What it does
ChatGPT assigns a severity, lists containment steps, and drafts a holding update for the issue in [PROCESS] affecting [TEAM]. Contain first, then send the update while your diagnosis continues.
<context> You are the incident commander for an active issue affecting [PROCESS] and [TEAM]. I will describe the symptoms, timeline, and what is impacted below. </context> <task> 1. Assign a severity level with a one-line justification. 2. List the immediate containment actions to limit impact before root cause is known. 3. Generate a prioritized diagnostic checklist to isolate the cause. 4. Draft a holding status update for stakeholders that states impact, what we know, and next update time. 5. Identify who needs to be paged or informed right now. </task>
Pro tip: Keep the same chat open through the incident and feed ChatGPT each new finding so it can continuously refine the diagnostic checklist.
Conduct a root-cause analysis
22/30✨ What it does
ChatGPT runs a blameless five-whys on [PROCESS] for [TEAM], separating root cause from contributing factors and listing fixes. Assign the fixes and refuse to stop at the first convenient cause on your list.
<context> You are running a post-incident root-cause analysis for an issue in [PROCESS] owned by [TEAM]. I will paste the incident timeline and contributing factors below. </context> <task> 1. Apply the 5 Whys to drive from symptom to underlying cause, showing each layer. 2. Separate the root cause from contributing factors and triggers. 3. Distinguish process failures from human-error framing and reframe any blame toward the system. 4. Recommend corrective actions split into immediate fixes and systemic preventions, each with an owner. </task>
Pro tip: Explicitly tell ChatGPT to keep the analysis blameless; this produces system-level fixes instead of 'someone forgot' conclusions that recur.
Write a post-mortem report
23/30✨ What it does
ChatGPT writes a full post-mortem for the [PROCESS] incident on [TEAM], with impact, timeline, what worked, and owned actions. Assign due dates and share it with your leadership.
<context> You are documenting a resolved incident in [PROCESS] for [TEAM] and leadership. I will paste the timeline, root cause, and actions taken below. </context> <task> 1. Write a post-mortem with: summary, impact (who/what/how long), timeline, root cause, what went well, what went poorly, and action items. 2. Quantify the impact wherever possible (downtime, affected count, cost, SLA breach). 3. Make every action item specific, owned, and dated, and tag it prevention vs detection vs response. 4. Add a short executive summary readable in 30 seconds at the top. </task>
Pro tip: Ask ChatGPT to generate the timeline in UTC with relative offsets so distributed stakeholders read the sequence consistently.
Build an issue escalation matrix
24/30✨ What it does
ChatGPT defines 3-4 severity tiers for [PROCESS] issues on [TEAM] with observable criteria, who to notify, and response times. Post the matrix and route the next issue by those rules on your team.
<context> You are defining how issues in [PROCESS] get escalated within [TEAM] and beyond. We want fewer judgment calls and faster routing. </context> <task> 1. Define 3-4 severity tiers with concrete, observable criteria for each (not vague words like 'major'). 2. For each tier specify: who is notified, response-time target, resolution-time target, and the communication cadence. 3. Define the trigger and authority to escalate one tier up. 4. Output the result as an escalation matrix table. </task>
Pro tip: Make ChatGPT define severity using observable thresholds (e.g. '>50 users blocked') so on-call staff classify consistently at 3am.
Draft a recurring-issue prevention plan
25/30✨ What it does
ChatGPT finds the pattern in recurring [PROCESS] failures for [TEAM] and writes a durable prevention plan, not another patch. Put the prevention in place and watch whether the pattern stops on your watch.
<context> You are tackling an issue that keeps recurring in [PROCESS] for [TEAM]. I will paste the history of past occurrences and the fixes that were tried below. </context> <task> 1. Identify the pattern across occurrences: common triggers, time-of-day, conditions, or upstream causes. 2. Explain why previous fixes did not stop recurrence (treated symptom vs cause). 3. Recommend a durable prevention plan with detection, prevention, and a fallback if it happens again. 4. Define a leading metric that tells us the recurrence is actually trending down. </task>
Pro tip: Paste the full occurrence history at once; ChatGPT spots cross-incident patterns far better than when you describe issues one at a time.
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Team Coordination
5 promptsPlan a productive team meeting
26/30✨ What it does
ChatGPT designs a time-boxed agenda for the [TEAM] ops meeting on [PROCESS], with purpose per segment and pre-reads. Send the pre-reads and close your meeting with captured actions.
<context> You are running a recurring operations meeting for [TEAM] focused on [PROCESS]. Meetings have been running long and unfocused. </context> <task> 1. Design a tight agenda with time-boxed segments and a clear purpose for each (decide, inform, or discuss). 2. List the pre-reads or data each segment requires so no time is spent catching up live. 3. Specify who owns each segment and the decision or output expected. 4. Add a 5-minute closing ritual that captures action items, owners, and due dates. </task>
Pro tip: After the meeting, paste your raw notes back and ask ChatGPT to extract a clean action list with owners and dates.
Coordinate a cross-team handoff
27/30✨ What it does
ChatGPT documents the [PROCESS] hand-off from [TEAM] to the other group, including format, channel, and acceptance criteria. Agree the definition of done with both sides, then run your next transfer that way.
<context> You are coordinating a hand-off in [PROCESS] between [TEAM] and another team. Things fall through the cracks at the boundary. </context> <task> 1. Map the hand-off: what is passed, in what format, through what channel, and the acceptance criteria for the receiving team. 2. Define a clear definition-of-done for the sending side and a checklist for the receiving side. 3. Identify the 3 most likely failure points at the boundary and a safeguard for each. 4. Recommend a single source of truth that both teams update so status is never ambiguous. </task>
Pro tip: Ask ChatGPT to write the hand-off as a shared checklist both teams tick off, so accountability is visible rather than assumed.
Resolve a team workload conflict
28/30✨ What it does
ChatGPT lays out competing asks crowding [PROCESS] on [TEAM], recommends a priority with rationale, and drafts stakeholder messages. Send those messages and add the intake rule so the pile does not rebuild on you.
<context> You are mediating competing priorities on [TEAM] where [PROCESS] is being crowded out by other demands. I will describe the conflicting asks and stakeholders below. </context> <task> 1. Lay out the competing demands, their stakeholders, and the cost of delay for each. 2. Recommend a prioritization with a clear rationale tied to business impact. 3. Draft the message I send to the deprioritized stakeholder that explains the decision and offers an alternative. 4. Suggest a lightweight intake rule that prevents this conflict from recurring. </task>
Pro tip: Ask ChatGPT to frame the deprioritization message around shared goals so the stakeholder feels heard rather than overruled.
Write a clear task delegation
29/30✨ What it does
ChatGPT writes a delegation brief for part of [PROCESS] to someone on [TEAM], covering outcome, authority, success criteria, and check-ins. Send the brief and meet at those check-ins with your delegate.
<context> You are delegating part of [PROCESS] to a member of [TEAM]. Past delegations have come back wrong because expectations were fuzzy. </context> <task> 1. Write a delegation brief covering: the outcome wanted, why it matters, constraints, the deadline, and the level of authority (decide vs recommend vs ask first). 2. Define what 'done well' looks like with 3 concrete success criteria. 3. List the resources and people the owner can draw on. 4. Specify the check-in points so I can course-correct without micromanaging. </task>
Pro tip: Tell ChatGPT the person's experience level so it calibrates how much detail and how many check-ins the brief includes.
Summarize status for stakeholders
30/30✨ What it does
ChatGPT turns this week's raw updates on [PROCESS] for [TEAM] into a short status: overall color, wins, blockers, and what you need. Send it to stakeholders with the decision you want up front.
<context> You are reporting weekly status on [PROCESS] for [TEAM] to busy stakeholders. I will paste this week's raw updates, blockers, and metrics below. </context> <task> 1. Write a status update in the format: overall RAG status, key wins, in-progress, blockers needing help, and what is coming next. 2. Lead with the one thing stakeholders most need to know and the one decision you need from them. 3. Quantify progress against targets rather than describing activity. 4. Keep it under 200 words and end with a clear 'help needed' ask if there is one. </task>
Pro tip: Save the format as a custom instruction so ChatGPT produces the same structure every week and stakeholders learn where to look.
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