ChatGPT Prompts for Scrum Masters
Thirty deployable prompts to plan sprints, facilitate ceremonies, surface impediments, and coach your team toward genuine agility — not just process theater.
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 15 prompts are free instantly — no signup needed. Hand-curated and tested by the AI Academy team.
Sprint Planning
5 promptsBuild a Sprint Goal from Backlog Items
1/30<context> You are an experienced scrum master helping [TEAM] plan [SPRINT]. Our product priorities this cycle are: [PRIORITIES]. The candidate backlog items pulled in are: [BACKLOG ITEMS]. Team capacity is [CAPACITY] story points and velocity over the last 3 sprints averaged [AVG VELOCITY]. </context> <task> 1. Draft 3 candidate sprint goal statements, each a single outcome-focused sentence (value delivered, not tasks done). 2. For each, list which backlog items support it and flag any pulled-in items that do NOT serve any goal. 3. Recommend the single strongest goal and justify it against the stated priorities. 4. Estimate whether the supporting items fit within [CAPACITY], and name the 2 items to cut first if we overcommit. 5. Write a one-line goal we can pin to the sprint board. </task>
A focused, outcome-based sprint goal with backlog alignment and a clear cut-list if the team overcommits.
Pro tip: Paste your actual Jira/Linear backlog export as the [BACKLOG ITEMS] block — ChatGPT reasons far better over real titles and estimates than over a summary.
Capacity Plan Around Time Off and Meetings
2/30<context> You are planning capacity for [TEAM] for [SPRINT], which runs [START DATE] to [END DATE] ([WORKING DAYS] working days). Team members and their availability: [MEMBERS AND PTO]. Recurring commitments per person per week: [MEETINGS/SUPPORT ROTA]. Our historical focus factor is [FOCUS FACTOR]%. </context> <task> 1. Compute available person-days per member after subtracting PTO, holidays, and recurring commitments. 2. Apply the focus factor to convert raw availability into realistic development capacity. 3. Convert capacity to a story-point ceiling using our average per-point effort. 4. Flag any member who is below 50% availability and suggest how to redistribute their committed work. 5. Output a short table: member, available days, adjusted capacity, notes. </task>
A defensible capacity number for the sprint, with per-member breakdown and risk flags for low-availability team members.
Pro tip: Ask ChatGPT to show its arithmetic step by step so you can sanity-check the focus-factor math before you commit the number in planning.
Split an Oversized Story
3/30<context> You are coaching [TEAM] during planning for [SPRINT]. This story is too large to finish in one sprint: [STORY DESCRIPTION], current estimate [ESTIMATE]. Acceptance criteria: [ACCEPTANCE CRITERIA]. Known technical constraints: [CONSTRAINTS]. </context> <task> 1. Apply recognized splitting patterns (workflow steps, business rule variations, happy/unhappy path, data variations, interface vs logic) to propose 3-5 smaller vertical slices. 2. Ensure each slice delivers independent, testable value — no horizontal/technical-layer splits. 3. Rewrite acceptance criteria for each slice. 4. Sequence the slices so the earliest delivers a usable increment. 5. Re-estimate each slice relative to the original. </task>
Several independently valuable, properly sized story slices with rewritten acceptance criteria and a delivery sequence.
Pro tip: If ChatGPT suggests horizontal splits like "build the backend" vs "build the frontend," push back and remind it every slice must be demoable on its own.
Pre-Planning Readiness Check
4/30<context> You are the scrum master preparing [TEAM] for [SPRINT] planning. Here are the top backlog items we intend to pull: [BACKLOG ITEMS WITH DETAILS]. Our Definition of Ready is: [DEFINITION OF READY]. </context> <task> 1. Audit each item against the Definition of Ready and mark it Ready, Needs Work, or Not Ready. 2. For each non-ready item, list the specific missing element (unclear AC, no estimate, unresolved dependency, missing design). 3. Identify which items the product owner must clarify before planning starts. 4. Suggest an agenda order that front-loads the most ready, highest-value items. 5. Output a readiness checklist I can send the team 24 hours before planning. </task>
A readiness audit of candidate items plus a pre-planning checklist that prevents wasted planning time.
Pro tip: Save your Definition of Ready as a ChatGPT custom instruction so every readiness check uses your exact criteria without re-pasting it.
Forecast Sprint Outcomes for Stakeholders
5/30<context> You are the scrum master for [TEAM]. We just committed to [SPRINT] with these items and estimates: [COMMITTED ITEMS]. Known risks and dependencies: [RISKS]. Our last 3 sprints completed [COMPLETION RATES]% of committed points. </context> <task> 1. Produce a plain-language stakeholder summary of what [SPRINT] aims to deliver and the value it unlocks. 2. Give a realistic confidence level (high/medium/low) for the sprint goal, justified by the completion-rate history and listed risks. 3. Translate technical items into business-outcome language a non-technical stakeholder understands. 4. List the top 2 risks that could derail the commitment and the early signal to watch for each. 5. Keep it under 200 words, ready to paste into a stakeholder update. </task>
A concise, honest stakeholder forecast that translates the sprint commitment into business value with calibrated confidence.
Pro tip: Tell ChatGPT the seniority of your audience (e.g., "VP of Product, non-technical") so it pitches the abstraction level correctly.
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Standups & Facilitation
5 promptsRedesign a Status-Report Standup
6/30<context> You are a scrum master whose daily standup for [TEAM] has become a round-robin status report to me instead of a team sync toward the sprint goal. Current format: [CURRENT FORMAT]. Team size [SIZE], working [REMOTE/HYBRID/CO-LOCATED]. </context> <task> 1. Diagnose why the current format drifted into status reporting. 2. Propose a goal-oriented standup format that focuses on flow toward the sprint goal (e.g., walk the board right-to-left, focus on blocked and aging items). 3. Give the exact 3-4 framing questions or prompts the team answers. 4. Specify a time box and how to enforce it without micromanaging. 5. Suggest how to move detailed problem-solving to an after-party so standup stays under 15 minutes. </task>
A redesigned standup format that shifts the team from reporting to me toward collaborating on flow.
Pro tip: Run this once, then ask ChatGPT to generate a printable one-card cheat sheet of the new questions to share in your team channel.
Facilitation Plan for a Tense Meeting
7/30<context> You are facilitating a meeting for [TEAM] about a charged topic: [TOPIC]. Background tension: [BACKGROUND]. Attendees and their likely positions: [ATTENDEES]. Desired outcome: [DESIRED OUTCOME]. Time available: [DURATION]. </context> <task> 1. Design a facilitation agenda with timeboxed segments leading to the desired outcome. 2. Recommend a facilitation technique for the divergent part (e.g., silent writing, dot voting, 1-2-4-all) that prevents the loudest voice from dominating. 3. Provide neutral framing language to open the meeting and reset if it gets heated. 4. Prepare 3 redirect phrases to use if the conversation goes personal or off-track. 5. Define what a decision or clear next step looks like so we do not leave unresolved. </task>
A structured, psychologically safe facilitation plan with techniques and neutral language for a difficult conversation.
Pro tip: Ask ChatGPT to role-play the most resistant attendee so you can rehearse your redirect phrases before the real meeting.
Async Standup Template for a Distributed Team
8/30<context> You are the scrum master for [TEAM], distributed across [TIMEZONES], where a synchronous standup is impractical. We use [TOOL] (Slack/Teams) for async updates. Sprint goal: [SPRINT GOAL]. </context> <task> 1. Design an async standup template that keeps focus on the sprint goal, not individual status. 2. Write the exact prompt fields each member fills in (keep it to 3 fields max). 3. Specify how blockers get escalated and who owns following up within the day. 4. Recommend a posting deadline and how to handle non-responders without nagging. 5. Suggest a lightweight weekly synchronous touchpoint to preserve team cohesion. </task>
A copy-ready async standup template plus an escalation and cadence design for distributed teams.
Pro tip: Have ChatGPT format the template as a Slack workflow message with emoji headers so you can paste it straight into a scheduled post.
Diagnose a Disengaged Ceremony
9/30<context> You are a scrum master and [CEREMONY] for [TEAM] has low engagement — people multitask, few speak, energy is flat. Observations: [OBSERVATIONS]. Team context: [CONTEXT]. </context> <task> 1. List the most likely root causes of disengagement (meeting too long, wrong attendees, unclear value, psychological safety, fatigue). 2. For each root cause, give a low-effort experiment to test whether it is the real driver. 3. Recommend the single experiment to try first and define how I will measure if it worked. 4. Suggest a one-question pulse I can ask the team to surface the real issue directly. 5. Caution me on changes that would treat a symptom instead of the cause. </task>
A root-cause diagnosis of ceremony disengagement with testable experiments, prioritized by effort and impact.
Pro tip: Keep a running ChatGPT thread per ceremony so it remembers which experiments you already tried and what the results were.
Coach a Team Member Who Dominates Discussion
10/30<context> You are a scrum master. In [TEAM] meetings, [PERSON ROLE] consistently dominates discussion, talks over others, and quieter members have stopped contributing. Specifics: [SPECIFIC BEHAVIORS]. This person is well-intentioned and skilled. </context> <task> 1. Suggest in-meeting facilitation moves I can use immediately to create space for others without singling anyone out. 2. Draft talking points for a private, respectful 1:1 conversation with this person, framed around team outcomes not personal criticism. 3. Anticipate 2 defensive responses and how I should reply. 4. Recommend structural changes (round-robin, written-first input) that reduce reliance on willpower. 5. Define how I will know in 2-3 sprints whether participation has rebalanced. </task>
In-meeting tactics plus a private-conversation script to rebalance participation without alienating a valuable contributor.
Pro tip: Ask ChatGPT for the conversation in a warm, peer-coaching tone — default outputs can read as HR-stiff and put the person on the defensive.
Retrospectives
5 promptsDesign a Themed Retrospective
11/30<context> You are planning a retrospective for [TEAM] after [SPRINT]. This sprint was notable for: [WHAT HAPPENED]. The team has done the standard Start/Stop/Continue format many times and it feels stale. Team mood: [MOOD]. Time available: [DURATION]. </context> <task> 1. Recommend a fresh retro format suited to this sprint context (e.g., Sailboat, 4Ls, Mad/Sad/Glad, Starfish, Timeline) and justify the choice. 2. Provide the full agenda with timeboxes for set-the-stage, gather data, generate insights, decide actions, and close. 3. Write the exact prompts or questions for each activity. 4. Suggest an icebreaker that fits the team mood. 5. Specify how we converge on a maximum of 2-3 concrete action items with owners. </task>
A complete, varied retrospective agenda with activity prompts, timeboxes, and a convergence method for action items.
Pro tip: Tell ChatGPT which formats you have already run recently so it does not recommend a stale one — it has no memory of your past retros unless you say so.
Turn Retro Notes into Action Items
12/30<context> You are a scrum master who just ran a retro for [TEAM]. Here are the raw notes and sticky-note text the team generated: [RAW RETRO NOTES]. </context> <task> 1. Cluster the raw notes into 4-6 themes. 2. For each theme, distinguish symptoms from likely root causes. 3. Propose SMART action items — specific, measurable, owned, time-bound — and limit the total to 3 so they actually get done. 4. Flag any recurring theme that has appeared before so we address the systemic issue, not just this instance. 5. Output a clean action table: action, owner, due, success measure. </task>
Messy retro output distilled into a small set of SMART, owned action items with root-cause framing.
Pro tip: Limit ChatGPT to 3 actions explicitly — it tends to generate an overwhelming list, and unfinished retro actions kill the team's trust in the ceremony.
Root-Cause a Recurring Problem (5 Whys)
13/30<context> You are facilitating a deep-dive retro for [TEAM] on a problem that keeps recurring: [RECURRING PROBLEM]. Context from recent sprints: [CONTEXT]. Past attempted fixes: [PAST FIXES]. </context> <task> 1. Run a 5 Whys analysis on the stated problem, proposing plausible answers at each level but marking which assumptions I must verify with the team. 2. Identify whether the root cause is process, people, tooling, or external dependency. 3. Explain why the past fixes failed to address the root cause. 4. Propose one systemic countermeasure aimed at the root, plus how to verify it works. 5. Warn me about the common trap of stopping the analysis at a symptom. </task>
A structured 5 Whys analysis that separates symptom from root cause and proposes a systemic countermeasure.
Pro tip: Treat ChatGPT's "whys" as hypotheses to test live with the team — never present its guessed answers as the team's own conclusions.
Gauge Psychological Safety
14/30<context> You are a scrum master who suspects [TEAM] may not feel safe raising problems in retros. Observations: [OBSERVATIONS]. I want to measure and improve psychological safety without making it feel like a corporate survey. </context> <task> 1. Suggest a short, anonymous pulse (4-5 statements) based on established psychological-safety dimensions, with a simple scoring scale. 2. Explain how to introduce it so the team trusts the anonymity. 3. For likely low-scoring areas, recommend specific facilitator behaviors that build safety over time. 4. Suggest how I model vulnerability myself to set the tone. 5. Define a realistic timeline for re-measuring and what improvement looks like. </task>
An anonymous psychological-safety pulse plus facilitator behaviors and a measurement cadence to improve team candor.
Pro tip: Ask ChatGPT to keep the survey statements jargon-free — clinical phrasing makes teams suspicious and tanks response rates.
Retro for a Distributed or Remote Team
15/30<context> You are running a retrospective for [TEAM] working [REMOTE/HYBRID] across [TIMEZONES]. We use [TOOLS] (e.g., Miro, Zoom). Last remote retro problem: [WHAT WENT WRONG]. Duration available: [DURATION]. </context> <task> 1. Design a remote-first retro that keeps everyone engaged on camera and prevents silent observers. 2. Specify how to use the digital whiteboard for parallel, anonymous input to avoid groupthink. 3. Provide timeboxes accounting for the friction of remote tooling. 4. Recommend techniques to read the room when you cannot see body language. 5. Suggest how to capture and share action items so they survive past the call. </task>
A remote-optimized retrospective plan that maximizes engagement and parallel input across a distributed team.
Pro tip: Have ChatGPT pre-write the exact Miro board frames and sticky prompts so you can build the board in minutes before the call.
Backlog Refinement
5 promptsRewrite a Vague User Story
16/30<context> You are a scrum master helping refine [BACKLOG] for [TEAM]. This story is vague and the team keeps asking what it means: [VAGUE STORY]. What we know about the underlying need: [CONTEXT]. </context> <task> 1. Rewrite it in clear user-story format (As a [user], I want [capability], so that [benefit]) tied to a real user and outcome. 2. Write testable acceptance criteria in Given/When/Then form. 3. List the open questions the product owner must answer before this is Ready. 4. Identify assumptions baked into the story that should be validated. 5. Flag whether this is actually one story or several disguised as one. </task>
A clear, testable user story with Given/When/Then acceptance criteria and a list of open questions for the product owner.
Pro tip: Give ChatGPT a sample of a well-written story from your own backlog as a style anchor so the output matches your team's conventions.
Prepare a Refinement Session Agenda
17/30<context> You are the scrum master preparing a backlog refinement session for [TEAM]. The [BACKLOG] items we plan to refine: [ITEMS]. We have [DURATION] and refinement often runs over and exhausts the team. </context> <task> 1. Order the items so the highest-value, soonest-needed ones are refined first. 2. Allocate a timebox per item proportional to its complexity. 3. For each item, list the specific refinement output we need (estimate, AC, dependencies, splitting). 4. Pre-write the clarifying questions likely to come up so we do not stall. 5. Define a stop rule for when an item is "refined enough" to avoid over-analysis. </task>
A timeboxed, prioritized refinement agenda with per-item goals and a stop rule that prevents endless discussion.
Pro tip: Ask ChatGPT to mark items it predicts will be contentious so you can flag the product owner to prepare context in advance.
Estimate with Reference Stories
18/30<context> You are facilitating estimation for [TEAM]. We use story points (Fibonacci). Our reference stories: [REFERENCE STORIES WITH POINTS]. The new item to estimate: [NEW ITEM]. Team disagreement so far: [DISAGREEMENT]. </context> <task> 1. Compare the new item to each reference story across complexity, effort, uncertainty, and risk. 2. Suggest a likely point value and the reasoning, while making clear the team owns the final number. 3. Identify the source of the team's disagreement (different assumptions vs different information). 4. Propose 2-3 clarifying questions that would collapse the disagreement. 5. Recommend whether to estimate now or defer until a question is answered. </task>
A relative-estimation analysis against reference stories that surfaces the real source of estimation disagreement.
Pro tip: Remind ChatGPT that points are relative, not hours — without your reference stories it will drift toward time-based reasoning.
Detect and Map Dependencies
19/30<context> You are a scrum master refining [BACKLOG] for [TEAM] heading into the next few sprints. Here are the upcoming items: [ITEMS]. Other teams or systems we touch: [EXTERNAL DEPENDENCIES]. </context> <task> 1. Identify dependencies between these items (item A must precede item B). 2. Flag external dependencies on other teams or systems and the lead time each needs. 3. Suggest a sequencing that minimizes blocked work and delivers value early. 4. Highlight any dependency that is a single point of failure for the sprint goal. 5. Recommend which conversations to start now with external teams to de-risk delivery. </task>
A dependency map and sequencing recommendation that surfaces blockers and external lead times before they bite.
Pro tip: Feed ChatGPT items from multiple upcoming sprints at once — dependency risks are easiest to spot when it sees the whole near-term horizon.
Groom a Bloated Backlog
20/30<context> You are a scrum master and [BACKLOG] for [TEAM] has grown to hundreds of stale items nobody reads. Sample of the backlog: [SAMPLE ITEMS]. Product priorities now: [CURRENT PRIORITIES]. </context> <task> 1. Propose criteria for archiving items (age, no longer aligned with priorities, duplicate, vague beyond rescue). 2. Apply those criteria to the sample and categorize each: keep, archive, merge, needs-decision. 3. Recommend a sustainable policy to keep the backlog from re-bloating (e.g., depth limit, regular pruning cadence). 4. Draft a short message to the product owner proposing the cleanup and getting buy-in. 5. Caution which items look stale but may be strategically important to keep. </task>
Pruning criteria applied to a sample backlog plus a message to the product owner and a policy to prevent re-bloat.
Pro tip: Export your real backlog to CSV and paste a representative slice — ChatGPT categorizes far more accurately with actual titles and ages than with descriptions.
Impediment Removal
5 promptsTriage and Prioritize Active Impediments
21/30<context> You are the scrum master tracking impediments for [TEAM] during [SPRINT]. Current open impediments: [IMPEDIMENT LIST WITH IMPACT]. My time to chase these down this week is limited. </context> <task> 1. Score each impediment by impact on the sprint goal and effort to resolve. 2. Rank them so I tackle the highest-impact, lowest-effort ones first. 3. For each, identify the right owner or escalation path (team can self-resolve, needs another team, needs management). 4. Draft a one-line status I can post to keep the team informed on each. 5. Flag any impediment that, if unresolved by mid-sprint, threatens the sprint goal. </task>
A prioritized impediment list with owners, escalation paths, and a flag on anything that endangers the sprint goal.
Pro tip: Keep this in a persistent ChatGPT thread and update the list each standup so it tracks aging and recurring blockers over the sprint.
Escalate a Cross-Team Blocker
22/30<context> You are a scrum master. [TEAM] is blocked by [BLOCKING TEAM/PERSON] who has not delivered [DEPENDENCY] needed for [SPRINT]. History of the request: [HISTORY]. Relationship is [GOOD/STRAINED]. </context> <task> 1. Draft a clear, non-blaming escalation message that states the impact on delivery and the specific ask with a date. 2. Provide an escalation ladder: who to contact first, then second if no response, with timing. 3. Suggest framing that preserves the working relationship while conveying urgency. 4. Anticipate the other side's likely constraints and propose a compromise. 5. Recommend a fallback plan for [TEAM] if the dependency slips past the deadline. </task>
A diplomatic escalation message, an escalation ladder, and a fallback plan for an unresolved cross-team dependency.
Pro tip: Tell ChatGPT the relationship status (strained vs good) — it calibrates tone heavily, and the wrong tone can torch a cross-team relationship.
Shield the Team from Mid-Sprint Scope Creep
23/30<context> You are the scrum master for [TEAM]. A stakeholder is pushing to add [NEW REQUEST] into the middle of [SPRINT]. The sprint goal is [SPRINT GOAL] and the team is already at capacity. Stakeholder seniority: [SENIORITY]. </context> <task> 1. Help me assess whether this request is a genuine emergency or can wait for the next sprint. 2. Draft a respectful response that protects the sprint goal and explains the cost of mid-sprint changes. 3. Offer the stakeholder real options (swap out an item of equal size, defer to next sprint, emergency reprioritization with the PO). 4. Frame the conversation around the product owner's authority over priorities, not me as a gatekeeper. 5. Suggest how to document the trade-off so it is transparent later. </task>
A scope-creep response that protects the sprint goal, offers real trade-off options, and routes priority calls to the product owner.
Pro tip: Have ChatGPT explicitly route the decision to the product owner — scrum masters who personally block stakeholders become the bottleneck and the villain.
Resolve a Recurring Process Bottleneck
24/30<context> You are a scrum master and [TEAM] keeps getting stuck at the same stage of the workflow: [BOTTLENECK STAGE]. Work piles up there every sprint. Workflow stages: [WORKFLOW]. Symptoms: [SYMPTOMS]. </context> <task> 1. Diagnose likely causes of the bottleneck (too few reviewers, unclear handoff, batch size, skill concentration). 2. Suggest WIP-limit or flow experiments to relieve it, with expected effect. 3. Recommend the single highest-leverage change to try first and how to measure flow improvement (cycle time at that stage). 4. Identify whether this is a capacity issue or a policy issue. 5. Caution against changes that just move the bottleneck downstream. </task>
A flow-based diagnosis of a recurring bottleneck with WIP-limit experiments and a metric to confirm improvement.
Pro tip: Paste your cycle-time-by-stage data if you have it — ChatGPT can pinpoint the bottleneck quantitatively instead of guessing.
Address an Environment or Tooling Blocker
25/30<context> You are the scrum master for [TEAM]. The team is repeatedly blocked by [TOOLING/ENVIRONMENT ISSUE] (e.g., flaky CI, slow test env, access delays). Impact this sprint: [IMPACT]. Who controls the resource: [OWNER]. </context> <task> 1. Quantify the cost of this blocker in lost developer time per sprint to build a business case. 2. Draft a concise request to [OWNER] that leads with that cost and a specific fix. 3. Suggest interim workarounds the team can use while the real fix is pending. 4. Recommend how to log these interruptions so the pattern is visible in the next retro. 5. Identify whether this belongs on the team backlog as an explicit improvement item. </task>
A cost-quantified business case for fixing a tooling blocker, plus interim workarounds and a tracking method.
Pro tip: Ask ChatGPT to express the cost in both hours and dollars (using a rough loaded engineer rate) — money framing gets infrastructure requests prioritized faster.
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Agile Coaching & Metrics
5 promptsInterpret Velocity and Burndown Trends
26/30<context> You are a scrum master analyzing delivery health for [TEAM]. Velocity over the last 6 sprints: [VELOCITY DATA]. Recent burndown shapes: [BURNDOWN DESCRIPTION]. Team and context changes in that window: [CONTEXT CHANGES]. </context> <task> 1. Interpret the velocity trend (stable, rising, falling, erratic) and what each pattern typically signals. 2. Read the burndown shapes for warning signs (flat starts, end-of-sprint cliffs, scope added mid-sprint). 3. Separate signal from noise — call out where the data is too sparse to conclude anything. 4. Recommend 2-3 questions to explore with the team rather than presenting metrics as judgments. 5. Explicitly warn against using velocity to compare teams or as a productivity target. </task>
A careful interpretation of velocity and burndown trends that surfaces signals while avoiding common metric-misuse traps.
Pro tip: Never let ChatGPT frame velocity as a performance score — explicitly ask it to treat metrics as conversation starters, not verdicts.
Choose the Right Metrics for a Goal
27/30<context> You are a scrum master and leadership wants [TEAM] to improve [GOAL] (e.g., predictability, speed, quality). They are currently asking for [METRICS LEADERSHIP WANTS], some of which feel like vanity or gameable metrics. </context> <task> 1. Map the stated goal to the flow/agile metrics that genuinely reflect it (e.g., cycle time, throughput, predictability, escaped defects). 2. Explain which requested metrics are gameable or misleading and the dysfunction each could cause. 3. Recommend a small balanced set (3-4 metrics) that resists gaming and tells an honest story. 4. Suggest how to present these to leadership and reframe the gameable ones. 5. Define what good looks like for each metric without turning it into an individual target. </task>
A balanced, gaming-resistant metric set mapped to a real goal, with guidance on reframing leadership's vanity-metric requests.
Pro tip: Cite Goodhart's Law to ChatGPT — ask it to flag any metric that becomes a bad target once people optimize for it.
Build a Team Agile Maturity Assessment
28/30<context> You are coaching [TEAM] toward greater agility. Current practices and pain points: [CURRENT STATE]. How long the team has practiced scrum: [TENURE]. What good looks like for us: [VISION]. </context> <task> 1. Propose a lightweight self-assessment across key dimensions (delivery, collaboration, technical practices, continuous improvement, value focus). 2. For each dimension, describe what early, developing, and mature look like in concrete behaviors. 3. Based on the stated current state, hypothesize where the team likely sits and what to verify with them. 4. Recommend the one dimension to focus improvement on first and why. 5. Suggest a re-assessment cadence to track real progress. </task>
A behavior-based agile maturity self-assessment with a focus area and re-assessment cadence tailored to the team.
Pro tip: Ask ChatGPT to phrase maturity levels as observable behaviors, not abstractions — "we deploy on demand" beats "high delivery maturity" for honest self-scoring.
Coach a Resistant Product Owner or Stakeholder
29/30<context> You are a scrum master and [ROLE] (product owner or stakeholder) resists agile practices — for example [SPECIFIC RESISTANCE] (skips refinement, changes priorities mid-sprint, wants fixed scope and date). Their underlying concern seems to be [SUSPECTED CONCERN]. </context> <task> 1. Reframe the resistance as a legitimate underlying need and name what that need likely is. 2. Suggest how agile practices actually serve that need, in their language not agile jargon. 3. Draft talking points for a coaching conversation focused on their goals. 4. Propose a small, low-risk experiment that lets them experience the benefit firsthand. 5. Warn me against quoting the Scrum Guide as authority — it rarely persuades a skeptic. </task>
A coaching plan that reframes a stakeholder's resistance as an unmet need and proposes an experiment to win them over.
Pro tip: Tell ChatGPT to strip out all agile jargon from the talking points — skeptics tune out "sprint commitment" but respond to "fewer surprises for your boss."
Plan a Continuous Improvement Roadmap
30/30<context> You are a scrum master setting an improvement direction for [TEAM] over the next quarter. Recurring retro themes: [RECURRING THEMES]. Constraints (org, time, skills): [CONSTRAINTS]. What leadership cares about: [LEADERSHIP PRIORITIES]. </context> <task> 1. Synthesize the recurring themes into 2-3 improvement areas worth a quarter of focus. 2. For each, define a measurable improvement goal and the leading indicator to watch. 3. Sequence the work so early wins build momentum and trust. 4. Identify which improvements need leadership support and how to make the ask. 5. Recommend how to make progress visible to the team so improvement does not feel invisible. </task>
A quarterly continuous-improvement roadmap that turns recurring retro themes into measurable, sequenced improvement goals.
Pro tip: Feed ChatGPT the action items from your last several retros — it will spot the systemic themes the team keeps circling back to but never resolves.
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