By PromptLeadz · Reading time 24 minutes · 100 AI customer support prompts across 5 categories · Calibrated for 2026 frontier models

What this pack covers

Customer support sits at the intersection of three disciplines that rarely show up in the same job description: communication (writing replies a customer respects and acts on), operations (managing SLA, volume, queue health, agent capacity, and escalation paths at scale), and craft (knowing when to apologize, when to push back, when to refund, when to escalate, when to let a customer be wrong). Most support content circulating online optimizes for the first bucket and ignores the second two. Most support work in practice is the second two with occasional communication moments.

This pack of 100 AI customer support prompts is calibrated for all three buckets. The triage and response prompts produce replies that respect the customer's time and the agent's queue. The troubleshooting prompts produce diagnostic flows that resolve faster than transcript-style back-and-forth. The de-escalation prompts produce responses that lower the temperature without conceding policy. The KB and macro prompts produce documentation that deflects future tickets and scales the team. The CX operations prompts produce quality reviews, CSAT analyses, agent coaching memos, and weekly reports that hold up under leadership scrutiny.

The pack does not produce LinkedIn thought leadership about customer obsession or world-class support culture. Those exist in abundance elsewhere. The pack also does not produce autopilot responses to be sent without review; customer-facing outputs are drafts that require the agent's judgment, edit, and policy check before they ship.

Five categories. The support workflow end to end.

The five categories map to the five disciplines that determine whether a support function compounds CSAT or accumulates churn. Ticket Triage and Response comes first because first replies set the tone for the entire ticket; bad first replies require recovery that often costs more than a clean first response. Troubleshooting and Resolution comes second because the core support work is solving the customer's actual problem, not performing concern. Customer Communication and De-escalation comes third because the hardest tickets (angry customers, denied refunds, missed SLAs, outages) determine whether support is a brand asset or a liability. Knowledge Base and Macro Management comes fourth because KB quality and macro discipline are what let support scale beyond linear headcount growth. CX Operations and Reporting comes fifth because quality reviews, CSAT analysis, agent coaching, and reporting are what makes the function defensible to leadership and learning over time.

1. First reply under SLA

Ticket: [paste customer name, issue summary, channel, priority]. Customer history: [paste]. Available policy and KB: [paste]. Draft a 120-word first reply: the named acknowledgment of the specific issue (not "your concern"), the named diagnostic question if needed (1-2 max), the named next step with named timeline, the named contact path. First replies that open with "I completely understand your frustration" before naming the issue read as templates.

2. Severity classification memo

Ticket details: [paste]. Severity tiers: [paste internal definitions]. Draft a 200-word severity memo: the named severity assignment with rationale (impact, urgency, customer tier), the named SLA implication, the named escalation criteria if any, the named owner. Severity classified by gut instinct produces SLA misses on real P1s.

3. Ticket categorization framework

Current category taxonomy: [paste]. Recent volume by category: [paste]. Draft a 500-word categorization framework: the named primary categories (typically 8-15), the named subcategories per primary, the named tagging rules to prevent overlap, the named owner per category, the named review cadence. Category taxonomies with too many overlapping options produce inconsistent tagging and broken reporting.

4. Multi-channel ticket merging memo

Customer: [paste]. Channels in use: [paste email, chat, phone, social, in-app]. Multiple tickets from same customer: [paste]. Draft a 200-word merging memo: the named primary ticket designation, the named consolidation summary for the agent, the named customer-side comms to set expectations on a single contact channel, the named internal owner. Multi-channel tickets handled separately produce conflicting answers from different agents.

5. Duplicate ticket detection response

New ticket: [paste]. Suspected duplicate of prior ticket: [paste]. Draft a 150-word response: the named acknowledgment, the named link to the prior ticket and its status, the named question to confirm same issue or new, the named expected next update timeline. Duplicate tickets handled as new produce customer frustration with repeating themselves.

6. Internal handoff note

Ticket: [paste current state]. Receiving agent or team: [paste]. Draft a 200-word internal handoff note: the named customer context, the named issue summary in factual terms, the named steps already taken, the named open questions, the named recommended next action, the named customer communication state (what we have promised them and when). Internal handoffs without named promises made produce missed customer commitments.

7. Ticket re-open response

Re-opened ticket: [paste original ticket, resolution attempt, customer reply]. Draft a 150-word response: the named acknowledgment that the issue is back, the named summary of what we tried, the named new diagnostic step or escalation, the named timeline for next update. Re-opened tickets answered as fresh produce customer feeling unheard.

8. After-hours auto-response calibration

Current after-hours template: [paste]. Customer expectations: [paste]. Draft a 100-word after-hours auto-response: the named acknowledgment in their language, the named realistic response window (no false promises), the named urgent-issue escalation path (if applicable), the named alternative resources (KB, status page, community). Auto-responses that promise "within 24 hours" without operational truth produce SLA miss anger.

9. Outage acknowledgment first response

Outage: [paste affected service, scope, status]. Ticket from affected customer: [paste]. Draft a 120-word outage acknowledgment: the named factual acknowledgment of the outage (no hedging), the named impact scope, the named status page link, the named expected next update time, the named direct contact if business-critical. Outage acknowledgments that pretend the issue is being investigated when status page already names it produce mistrust.

10. Chat opening message

Chat channel: [paste]. Available agent context: [paste current load, capability]. Draft a 30-word chat opening: the named greeting, the named question to surface the issue, the named expected response cadence. Chat openings that ask "How can I help you today" without progression produce flat conversations.

11. Social media inbound response

Social mention: [paste platform, public or DM, content]. Draft a 80-word social response: the named acknowledgment respecting the platform's tone, the named move to private channel if needed, the named direct path forward, the named follow-up commitment. Social responses that defend the company in public produce viral negative threads; this prompt prioritizes resolution movement to private.

12. VIP or named-account first reply

VIP customer: [paste tier, account manager, history]. Ticket: [paste]. Draft a 150-word VIP first reply: the named acknowledgment of the named relationship, the named direct named-agent ownership, the named expedited timeline, the named CSM or account manager loop-in if applicable. VIP tickets handled with generic templates produce escalations to leadership.

13. Free-tier vs paid-tier triage

Tier policy: [paste]. Free customer ticket: [paste]. Draft a 120-word free-tier response: the named respectful acknowledgment, the named available support paths for their tier, the named self-service resources, the named upgrade context (without hard-selling). Free-tier responses that read as dismissive produce churn and bad reviews.

14. Inbound feature request response

Feature request: [paste from ticket]. Product roadmap state: [paste public-shareable]. Draft a 150-word response: the named acknowledgment of the specific use case, the named honest roadmap status (committed, considering, no plans), the named workaround if any, the named feedback channel for tracking. Feature requests responded to with "great idea, we will pass it along" produce no closure for customer or product team.

15. Account access or login issue first reply

Access issue: [paste symptom]. Customer account: [paste verification status]. Draft a 150-word access issue response: the named verification check, the named first diagnostic step the customer can run, the named timeline if it requires backend reset, the named contact if account is critical. Access issues handled with three back-and-forth diagnostic rounds produce frustration; first replies should batch diagnostics.

16. Billing inquiry first reply

Billing question: [paste]. Account context: [paste plan, payment status, recent changes]. Draft a 150-word billing first reply: the named factual billing summary, the named answer to the specific question, the named refund or credit options if applicable (route to supervisor approval), the named next step. Billing replies that hide the actual charge math produce escalations.

17. Bug report acknowledgment

Bug report: [paste reproduction steps if provided]. Available bug tracker context: [paste]. Draft a 150-word bug acknowledgment: the named confirmation of the bug or named need for more reproduction info, the named tracking ID (if generated), the named expected investigation timeline, the named workaround if any. Bug reports closed without acknowledging the actual symptom produce reopens.

18. Customer cancellation request first response

Cancellation request: [paste reason if given]. Account: [paste plan, contract terms, MRR]. Draft a 150-word cancellation response: the named acknowledgment of their decision, the named cancellation process steps, the named optional save-attempt question (single, respectful, not pushy), the named effective date and final invoice clarity. Cancellation responses that fight the customer produce bad reviews.

19. Repeat-issue escalation trigger

Customer with repeat issues: [paste pattern, frequency, prior resolutions]. Draft a 200-word escalation trigger memo: the named pattern with evidence, the named hypothesis on root cause (product, process, customer-side, environment), the named escalation to engineering or product, the named customer communication while investigating. Repeat issues handled ticket-by-ticket produce customer trust loss; the pattern needs to be named.

20. End-of-shift queue handoff

Shift ending: [paste named time]. Active tickets in flight: [paste]. Draft a 300-word end-of-shift handoff memo: the named ticket-by-ticket state, the named promises made to customers (with named timelines), the named at-risk SLAs, the named escalations awaiting response, the named priority order for incoming shift. End-of-shift handoffs without named promises produce customer dropped balls.

21. Diagnostic question batch

Reported issue: [paste]. Available KB and troubleshooting tree: [paste]. Draft a 200-word diagnostic batch: the named 4-6 questions in one message (not sequential round-trips), the named context for why each is asked, the named expected response format, the named next step once answered. Diagnostic round-tripping one question at a time produces 5-day resolution times on 30-minute fixes.

22. Step-by-step resolution script

Known issue and fix: [paste]. Customer technical level: [paste estimate]. Draft a 400-word resolution script: the named numbered steps with screenshots-or-text option, the named expected outcome at each step, the named common branch points, the named final verification step, the named follow-up commitment. Resolution scripts that skip verification produce "it stopped working again" reopens.

23. Log file analysis support

Log snippet: [paste]. Issue context: [paste]. Draft a 300-word log analysis memo: the named timestamp and event analysis, the named likely cause hypothesis, the named additional logs needed if any, the named next diagnostic step, the named escalation if beyond agent capability. Log analysis that just forwards to engineering produces queue backups.

24. Reproduction step gathering

Reported bug: [paste]. Available info: [paste]. Draft a 150-word reproduction request: the named specific steps you have already attempted to reproduce, the named information gaps, the named technical context needed (browser, OS, version, account, environment), the named timeline. Reproduction requests that don't name what you have tried produce repeated cycles.

25. Workaround communication

Bug confirmed: [paste]. Available workaround: [paste]. Engineering fix ETA: [paste]. Draft a 200-word workaround memo: the named confirmation of the bug, the named workaround steps, the named limitations of the workaround, the named ETA for permanent fix, the named follow-up commitment when fixed. Workaround communications without ETA produce repeated check-in tickets.

26. Root cause analysis (RCA) draft

Incident or recurring issue: [paste impact and timeline]. Available data: [paste]. Draft a 500-word RCA draft: the named timeline of events, the named root cause (factual, not narrative), the named contributing factors, the named immediate remediation taken, the named systemic prevention measures, the named customer communication plan. RCAs that name a team rather than a system produce defensive culture; the cause is structural.

27. Edge case handling memo

Unusual ticket: [paste]. Standard policy: [paste]. Draft a 300-word edge case memo: the named factual analysis of why standard policy does not fit, the named precedent search, the named options (within policy with adaptation, escalate for exception, decline with respectful comms), the named supervisor consult requirement, the named documentation update. Edge cases handled by individual judgment without precedent tracking produce inconsistency.

28. Integration troubleshooting flow

Third-party integration: [paste named integration, partner]. Reported issue: [paste]. Draft a 400-word integration troubleshooting flow: the named diagnostic steps on our side, the named diagnostic steps on their side, the named partner support contact and escalation, the named expected response timeline, the named customer communication during cross-team work. Integration issues that ping-pong between vendors produce customer-side frustration.

29. Performance issue diagnostic

Performance complaint: [paste, e.g. slowness, timeouts]. Available metrics: [paste]. Draft a 300-word performance diagnostic: the named test the customer can run to baseline, the named metric we will check on our side, the named common causes (network, browser, account, regional, time-of-day), the named action per cause, the named follow-up. Performance issues handled with "clear your cache" without diagnostic produce frustrated reopens.

30. Data discrepancy or missing data investigation

Reported discrepancy: [paste expected vs actual]. Account context: [paste]. Draft a 300-word investigation memo: the named verification of expected vs actual, the named common causes (timing, integration, permissions, deletion, sync delay), the named diagnostic per cause, the named escalation to engineering if needed, the named customer comms while investigating. Data issues handled defensively produce trust damage.

31. Account configuration issue resolution

Configuration problem: [paste]. Customer use case: [paste]. Draft a 300-word configuration resolution: the named recommended configuration with rationale tied to their use case, the named step-by-step change instructions, the named expected outcome, the named verification step, the named alternative if their use case is non-standard. Configuration help that mechanically applies defaults without use case fit produces misconfigured customers.

32. Permissions and access troubleshooting

Permissions issue: [paste]. Available permission model: [paste roles, scopes]. Draft a 300-word permissions troubleshooting: the named current permission state of the user, the named required permissions for the action, the named admin needed to grant access, the named alternative paths, the named follow-up. Permissions issues that don't name the admin needed produce stuck tickets.

33. Upgrade or downgrade plan transition

Plan change request: [paste from, to, customer rationale]. Standard transition process: [paste]. Draft a 300-word transition memo: the named changes the customer will experience (features, limits, pricing), the named timing of the change, the named data and feature preservation or loss, the named billing implication, the named confirmation step. Plan transitions handled without naming the changes produce "I didn't know I would lose X" complaints.

34. Data export and migration support

Export or migration request: [paste scope, destination]. Available export tools: [paste]. Draft a 400-word migration support memo: the named export options and what each captures, the named limitations, the named timing, the named recommended migration sequence, the named customer-side verification, the named follow-up. Data migrations handled without naming limitations produce post-migration complaints about missing data.

35. Refund eligibility analysis

Refund request: [paste customer rationale]. Account context: [paste plan, term, usage]. Standard refund policy: [paste]. Draft a 400-word refund analysis memo (route to supervisor for approval): the named policy fit assessment, the named precedent for similar cases, the named customer relationship factors, the named recommended action (full refund, partial, credit, decline with respect), the named supervisor approval needed. Refund decisions made on first-reply without policy review produce inconsistency.

36. Refund response (approved)

Refund approved: [paste amount, method, timing]. Draft a 150-word refund response: the named factual confirmation of the refund, the named amount and method, the named timing for the customer to see it, the named acknowledgment of the underlying issue, the named follow-up commitment. Refund responses that perform too much gratitude erode the apology weight.

37. Refund response (declined with respect)

Refund declined: [paste rationale]. Customer context: [paste]. Draft a 200-word refund decline response: the named factual decline with policy reference, the named honest acknowledgment of the customer's frustration without conceding, the named alternative if any (credit, extended trial, account adjustment), the named appeal path if they want supervisor escalation. Refund declines that hide behind policy without humanity produce escalations.

38. SLA miss apology and recovery

SLA miss: [paste named breach, scope]. Customer impact: [paste]. Draft a 200-word SLA miss response: the named factual acknowledgment of the miss (no excuses), the named cause if shareable, the named immediate remediation, the named structural change to prevent recurrence, the named service credit if applicable. SLA miss apologies that bury the miss in narrative produce trust damage.

39. Repeat-symptom escalation to engineering

Recurring issue across multiple tickets: [paste pattern, frequency]. Customer impact: [paste]. Draft a 400-word engineering escalation memo: the named pattern with ticket count and customer count, the named hypothesized root cause, the named business impact (CSAT, churn risk, named accounts), the named asks of engineering (priority, ETA, workaround support), the named follow-up cadence. Engineering escalations that read as "this is annoying" produce no engineering action.

40. Knowledge gap memo to product team

Recurring confusion: [paste customer pattern, ticket volume]. Product context: [paste]. Draft a 300-word knowledge gap memo: the named recurring confusion with ticket count, the named hypothesized cause (UX, naming, onboarding, defaults), the named recommended product change, the named interim KB or in-product help, the named owner ask. Knowledge gap signal lost to product team produces persistent ticket volume.

The hardest support work is solving the customer's actual problem at the speed they need it. The easy work is performing concern with the right phrases. The pack is built for the first.PromptLeadz AI Customer Support Pack

41. Angry customer first response

Angry message: [paste]. Underlying issue: [paste]. Account context: [paste]. Draft a 200-word response: the named acknowledgment of the specific issue (not their emotion), the named factual context if it helps, the named immediate action being taken, the named timeline, the named follow-up commitment. Angry-customer responses that lead with "I understand your frustration" before naming the issue read as templates.

42. Apology with substance

Issue requiring apology: [paste]. Customer impact: [paste]. Draft a 200-word substance apology: the named factual error or failure (one sentence, no hedging), the named specific impact on the customer, the named action taken to resolve their case, the named structural change to prevent recurrence, the named follow-up if appropriate. Apologies that pile adjectives ("sincerely", "truly", "deeply") without action are perceived as theater.

43. Denied-request response preserving relationship

Customer request: [paste]. Reason for denial: [paste]. Draft a 200-word denial response: the named clear no without burying it, the named honest rationale, the named alternative if any, the named acknowledgment that this may not be what they hoped, the named appeal path. Denials that bury the no in three paragraphs of softening produce more frustration than direct denials.

44. Outage status update during incident

Outage in progress: [paste affected services, current status]. Time since start: [paste]. Draft a 200-word status update: the named current factual state, the named action being taken, the named expected next update time (named, not vague), the named workaround if any, the named contact for business-critical issues. Status updates that say "we are working on it" without expected-next-update produce escalation calls.

45. Post-incident customer notification

Incident resolved: [paste duration, affected scope]. Customer impact in their case: [paste]. Draft a 250-word post-incident notification: the named factual incident summary, the named impact on their specific use, the named root cause (in customer-appropriate terms), the named prevention measures, the named service credit or compensation if applicable, the named follow-up. Post-incident notifications that gloss over the cause produce trust damage at the next incident.

46. Churn-risk save attempt

Customer signaling churn: [paste signal, account, MRR]. Relationship history: [paste]. Draft a 300-word save-attempt response: the named acknowledgment of their position, the named specific resolution path for the underlying issue, the named flexibility offered (pause, downgrade, extended trial, named features unlocked), the named honest moment if our product is not the right fit, the named decision request with timeline. Save attempts that pile incentives without addressing root cause produce delayed churn.

47. Escalation pacification (customer says I want to speak to your manager)

Customer escalation request: [paste customer rationale]. Current ticket state: [paste]. Draft a 200-word response: the named immediate routing to supervisor (no defensive pushback), the named expected response time, the named summary the supervisor will see, the named alternative if supervisor is unavailable. Escalation requests met with "my manager will tell you the same thing" produce viral negative reviews.

48. Social media response to viral complaint

Viral social post: [paste content, platform, engagement]. Customer history: [paste if identifiable]. Draft a 150-word public response: the named factual public acknowledgment, the named move to private channel (DM, email, phone), the named direct named contact, the named commitment to update publicly when resolved. Viral complaints handled by defensive corporate response produce 10x worse virality.

49. Trust-violation response (security, privacy, data)

Trust-violation incident: [paste named breach, scope, customer impact]. Available legal-approved messaging: [paste]. Draft a 300-word response for legal review: the named factual acknowledgment of the violation, the named impact on this customer, the named action taken, the named ongoing remediation, the named contact for further questions, the named legally-approved language only. Trust-violation comms drafted without legal review produce regulatory and litigation exposure.

50. Long-time customer churning after recent product changes

Long-time customer: [paste tenure, MRR, named valued features]. Recent product changes they cite: [paste]. Draft a 300-word response: the named acknowledgment of their long relationship, the named honest acknowledgment of the change impact on their specific use case, the named available alternatives (legacy plan if exists, named features adjustment), the named honest moment if product direction is firm, the named decision request. Long-time customer churn responses that ignore the relationship history produce loud public departures.

51. Customer claiming the product caused them harm

Harm claim: [paste]. Account context: [paste]. Draft a 200-word response (route to legal and supervisor before sending): the named factual acknowledgment of their report, the named information gathering questions, the named immediate protective action if applicable, the named escalation to internal review, the named follow-up timeline. Harm claims responded to defensively or with admissions produce legal exposure; the prompt routes to legal first.

52. Aggressive or abusive customer response

Abusive message: [paste]. Account context: [paste]. Draft a 150-word response: the named factual acknowledgment of the underlying issue (not the abuse), the named boundary statement (one sentence, no lecture), the named willingness to continue resolving the issue, the named alternative comm channel if needed, the named consequence escalation path if abuse continues. Abusive customers responded to with defensive emotion produce escalation; the prompt names the boundary without engaging.

53. Customer who is wrong but insists they are right

Customer claim: [paste]. Factual evidence: [paste]. Draft a 200-word response: the named acknowledgment of their position, the named factual evidence presented respectfully (no "actually" or "in fact" gotcha framing), the named alternative interpretation offered, the named willingness to escalate if they want supervisor review, the named follow-up. Being-right-at-customer responses produce escalations even when factually correct; the prompt softens delivery without abandoning the facts.

54. Customer requesting features outside our scope

Feature request outside scope: [paste]. Available adjacent solutions: [paste partners, integrations, workarounds]. Draft a 200-word response: the named honest acknowledgment that this is outside our scope, the named adjacent solution or partner referral, the named workaround if any using our tools, the named tracking of their feedback for future roadmap. Out-of-scope requests answered with "great idea, let me pass it along" produce no closure.

55. Customer mismatching pricing or feature against competitor

Competitive comparison from customer: [paste their claim]. Our actual positioning: [paste]. Draft a 250-word response: the named honest acknowledgment of the comparison (no defensive deflection), the named factual correction of any inaccuracies in their claim, the named differentiation tied to their specific use case, the named alternative if our product is not the best fit for them. Competitor comparisons answered with feature wars produce no resolution.

56. Customer asking for a discount or special pricing

Discount request: [paste rationale]. Account context: [paste plan, contract, tenure]. Pricing policy: [paste]. Draft a 200-word response (route to supervisor for non-standard pricing): the named acknowledgment, the named applicability of standard discounts (volume, annual, multi-year, nonprofit), the named non-standard path requiring supervisor approval, the named alternative value (named features, additional support). Discount conversations handled in support without supervisor approval produce inconsistent pricing.

57. Customer who promised to leave a bad review

Review threat: [paste]. Underlying issue: [paste]. Draft a 200-word response: the named acknowledgment of their right to review, the named factual focus on resolving the underlying issue (not the review threat), the named commitment to resolution, the named follow-up after resolution if they want to update their review. Responses that beg for review changes produce more public anger; the prompt focuses on resolution.

58. Account owner request from non-owner

Request: [paste from non-owner]. Account verification status: [paste]. Draft a 150-word response: the named acknowledgment, the named verification requirement explanation (clearly, not defensively), the named alternative path (account owner contact, named procedure to add them as authorized), the named timeline. Non-owner requests handled without verification produce security exposure; the prompt enforces the policy without making the customer feel suspected.

59. Customer apology required from us after agent error

Agent error: [paste named mistake, customer impact]. Draft a 200-word apology: the named factual error acknowledgment, the named customer-side impact, the named immediate corrective action, the named coaching or process change applied, the named follow-up if applicable. Apologies from us that minimize the error produce trust damage; the prompt names the mistake clearly.

60. End-of-relationship comms (customer leaving, we want goodwill)

Cancellation in process: [paste customer, relationship history, reason]. Draft a 200-word goodbye message: the named acknowledgment of their decision, the named gratitude without theater, the named data export and account closure steps, the named open door if they want to return, the named honest reflection if there is a structural improvement we are making. Goodbye messages that pretend the relationship was perfect produce no goodwill; the prompt allows for honesty.

61. KB article from ticket pattern

Recurring ticket pattern: [paste]. Average resolution path: [paste]. Draft a 500-word KB article: the named article title with target keywords, the named user task framing in their language, the named step-by-step procedure with verification at each step, the named common issues and fixes, the named related articles to link, the named keywords for search optimization. KB articles written from one ticket without pattern recognition produce one-off content that does not deflect.

62. KB article audit

Existing article: [paste]. Recent ticket volume on the topic: [paste]. Draft a 400-word audit memo: the named accuracy check, the named clarity issues (too long, jargon, missing steps), the named gaps that produce continued tickets, the named recommended refresh actions, the named search ranking check, the named related article cross-link audit. KB articles never audited go stale and lose deflection power.

63. Macro template design

Repeated response need: [paste category]. Voice samples from top agents: [paste]. Draft a 300-word macro template: the named macro purpose, the named template with [variable placeholders] for personalization, the named when-to-use guidance, the named when-not-to-use guidance, the named refresh cadence. Macros without variable placeholders produce robotic responses; macros without when-not-to-use produce template overuse.

64. Macro audit and refinement

Current macros: [paste inventory with usage frequency]. Recent CSAT pattern: [paste]. Draft a 500-word macro audit: the named over-used macros (signal of template overuse), the named under-used macros (signal of poor discoverability), the named macros with low CSAT correlation (signal of robotic feel), the named recommended refinements, the named retirement candidates. Macro libraries that grow without audit accumulate cruft.

65. Self-service deflection content

Top ticket categories by volume: [paste]. Current self-service coverage: [paste]. Draft a 600-word deflection plan: the named top 3 deflection opportunities with ticket volume estimates, the named content format per opportunity (KB article, video, in-product, FAQ), the named owner and timeline, the named success metric (ticket reduction by category), the named tracking. Self-service initiatives launched without category-level tracking produce no measurable deflection.

66. FAQ generation from tickets

Recent tickets: [paste themes]. Existing FAQ: [paste]. Draft a 500-word FAQ update: the named new Q&A pairs in customer language (not our internal jargon), the named question phrasing matched to actual customer searches, the named category organization, the named cross-link strategy. FAQs written in marketing language fail to match customer search queries.

67. Video tutorial script

Topic: [paste recurring KB article that may benefit from video]. Audience technical level: [paste]. Draft a 400-word video script: the named hook in first 10 seconds (problem statement), the named step-by-step demo with timestamps, the named common confusion moments highlighted, the named summary and next steps, the named runtime target (typically 90-180 seconds). Video tutorials without runtime targets produce 8-minute videos no customer watches.

68. KB taxonomy and information architecture

Current KB structure: [paste]. Total article count: [paste]. Search and navigation analytics: [paste]. Draft a 500-word IA memo: the named primary navigation categories, the named secondary navigation logic, the named tagging strategy for cross-cutting topics, the named search relevance considerations, the named ownership and review cadence. KB taxonomies that try to mirror internal team structure rather than customer task structure produce poor findability.

69. KB SEO optimization for organic search

Article: [paste]. Search analytics: [paste]. Draft a 400-word SEO memo: the named primary keyword and search intent, the named title and meta description optimization, the named heading structure (H2/H3) aligned to question phrasing, the named related queries to address inline, the named internal link strategy. KB articles not optimized for organic search miss the deflection layer where customers self-serve before opening a ticket.

70. In-product help text

Feature or flow: [paste with named confusion patterns]. Available UI placement options: [paste tooltip, inline, modal, empty state]. Draft a 200-word help text package: the named context-appropriate copy per placement, the named character count limits, the named link to fuller KB article, the named call-to-action if applicable. In-product help text that reads as marketing copy fails the moment of confusion.

71. Onboarding content series

New customer onboarding gaps: [paste from CSAT, ticket patterns, churn analysis]. Current onboarding: [paste]. Draft a 500-word onboarding content plan: the named 30-day customer journey with content per stage, the named format mix (email, in-app, video, doc), the named owner per piece, the named success metric (activation rate, time-to-value, 30-day retention), the named iteration cadence. Onboarding content created once and never reviewed becomes outdated within 6 months.

72. Error message rewrite

Existing error messages: [paste inventory]. Customer confusion patterns: [paste]. Draft a 500-word error message rewrite memo: the named per-error rewrite with cause-and-action structure, the named link to KB article where applicable, the named tone calibration (clear, not jokey, not preachy), the named consistency check across the product. Error messages that name what failed without naming what to do produce support tickets.

73. Release notes drafting

Release contents: [paste features, fixes, deprecations]. Audience: [paste customer technical level]. Draft a 500-word release notes draft: the named what's new in customer terms (not engineering terms), the named what changed in existing behavior, the named what's removed or deprecated with migration guidance, the named known issues, the named follow-up if customers see issues. Release notes that read like engineering changelogs miss customer impact moments.

74. Migration guide

Migration event: [paste from feature, to feature, customer cohort affected]. Timeline: [paste]. Draft a 700-word migration guide: the named what is changing in customer terms, the named timeline with named milestone communications, the named step-by-step migration procedure, the named common issues and resolutions, the named rollback if applicable, the named support resources. Migrations announced without migration guides produce ticket surges.

75. Internal agent playbook for new feature

New feature: [paste]. Customer use cases: [paste]. Draft a 600-word agent playbook: the named feature summary in agent language, the named customer questions to anticipate with answers, the named edge cases and how to handle, the named escalation path, the named KB articles to reference. Feature releases without agent playbooks produce inconsistent customer answers and support manager frustration.

76. Localization and translation brief

Content for localization: [paste KB articles, macros, in-product copy]. Target languages: [paste]. Draft a 500-word localization brief: the named content priority for localization, the named tone considerations per language, the named cultural adaptation notes, the named glossary of terms to translate consistently, the named QA process, the named maintenance plan. Localizations done once without maintenance plan drift out of sync with English.

77. KB article retirement memo

Article candidates for retirement: [paste with traffic, age, accuracy concerns]. Draft a 300-word retirement memo: the named retirement criteria per article (outdated content, low traffic, superseded), the named redirect strategy, the named SEO impact consideration, the named owner, the named retirement timeline. Old KB articles left in place produce search confusion and inconsistent customer answers.

78. Customer-facing terminology consistency guide

Current terminology usage across surfaces: [paste examples]. Inconsistencies: [paste]. Draft a 500-word terminology guide: the named primary terms with definitions, the named banned synonyms, the named transition plan for in-product usage, the named owner per surface, the named refresh cadence. Inconsistent terminology across UI, KB, support, and marketing produces customer confusion at multiple touch points.

79. Trust and security content for customer review

Security and compliance documentation: [paste current inventory]. Customer requests: [paste]. Draft a 600-word trust content plan: the named security artifacts customers ask for (SOC 2, ISO, DPA, pen test, sub-processor list), the named customer-facing security landing page, the named procurement-friendly content, the named owner. Trust content scattered across marketing, legal, and security produces friction in customer evaluations.

80. Annual KB strategy memo

KB performance over the year: [paste deflection rate, search analytics, content audit results]. Strategic priorities: [paste]. Draft a 600-word annual KB strategy memo: the named year-over-year deflection movement, the named investments that paid off, the named gaps in coverage, the named next-year priorities, the named team and tooling implications, the named success metrics. KB strategy decisions made on intuition rather than analytics produce content investment without measurable deflection.

81. Ticket quality review framework

QA program goals: [paste]. Sample size: [paste]. Draft a 600-word quality review framework: the named scoring dimensions (accuracy, completeness, tone, policy adherence, customer-respect register, KB citation), the named scoring scale with anchors, the named sample selection (random, supervisor-flagged, low-CSAT, complex), the named reviewer training, the named feedback loop to agent. Quality reviews scored on vibes without dimensional rubric produce inconsistent calibration.

82. Weekly support report

Week data: [paste ticket volume, CSAT, SLA, escalation, top categories]. Draft a 500-word weekly report: the named headline in one sentence, the named volume and SLA against plan, the named CSAT with movement, the named top categories and any anomalies, the named escalations and resolutions, the named known risks for next week, the named asks of stakeholders. Weekly reports that dump metrics without named anomalies produce no leadership engagement.

83. Monthly CX leadership report

Month data: [paste comprehensive support and CX metrics]. Strategic context: [paste]. Draft a 700-word monthly leadership report: the named top-level KPIs with movement, the named operational highlights (volume, SLA, CSAT, NPS, deflection), the named structural learnings, the named at-risk areas with named action, the named cross-functional asks, the named next-month focus. Monthly reports that read as activity logs without strategic framing produce leadership disengagement.

84. Quarterly board reporting deck

Quarter performance: [paste support metrics, named incidents, named improvements]. Board topics of interest: [paste]. Draft a 700-word board deck outline: the named headline (one slide, one sentence), the named CX performance vs plan with cause for variance, the named named risks and customer churn signals, the named strategic bets in flight, the named asks of the board. Board decks that bury news in narrative produce questions that derail the meeting.

85. CSAT analysis and root cause

CSAT data: [paste scores, comments, segmented by category and agent]. Period: [paste]. Draft a 600-word CSAT analysis memo: the named top-line score with year-over-year, the named lowest-scoring categories with root cause hypothesis, the named highest-scoring categories and the pattern, the named agent-level outliers (high and low) with diagnosis, the named structural actions. CSAT presented as scores without analysis produces no improvement.

86. Agent coaching memo

Agent: [paste tenure, performance pattern]. Specific tickets for coaching: [paste with QA scores or CSAT]. Draft a 500-word coaching memo: the named patterns observed (strengths and growth areas with specific ticket examples), the named coaching priorities (1-2 max), the named expected behavior change, the named support resources, the named follow-up cadence, the named manager 1:1 framing. Coaching memos that list every issue at once produce overwhelm and no change.

87. Agent performance review

Agent: [paste role, level, tenure, review period]. Performance data: [paste tickets handled, QA scores, CSAT, peer feedback]. Draft a 600-word review: the named outcome metrics against expectations, the named specific behavior strengths with ticket examples, the named growth areas with specific evidence, the named development plan, the named trajectory, the named compensation implication if applicable. Agent reviews that praise generally and criticize vaguely produce no behavior change.

88. Support team hiring rubric

Role: [paste support level, channel mix]. Required skills: [paste]. Draft a 600-word rubric: the named dimensions (communication, empathy under pressure, technical aptitude, judgment, queue discipline), the named leveling guide per dimension, the named calibration examples, the named disqualifying signals, the named scoring scale, the named bias mitigation. Support hiring rubrics built on vague "customer-first" framing produce inconsistent hiring quality.

89. Support agent interview kit

Role and level: [paste]. Loop stages: [paste]. Draft a 700-word interview kit: the named purpose per stage, the named questions per stage, the named situational and behavioral interview scenarios (real ticket scenarios where useful), the named technical screen if applicable, the named debrief structure. Support interviews relying only on personality questions miss the judgment and technical aptitude dimensions.

90. Support capacity plan

Ticket volume forecast: [paste trends, seasonality, product launches]. Current team: [paste headcount, channels, schedules]. Draft a 600-word capacity plan: the named volume projection by month, the named productive hours per agent realistically (not theoretical), the named headcount need by quarter, the named shift coverage requirement, the named hiring or training timeline, the named contingency. Capacity plans built on theoretical productivity produce burnout.

91. Shift and schedule design

Team distribution: [paste timezones, channels, volume by hour]. Coverage requirements: [paste]. Draft a 500-word shift design memo: the named coverage by hour and day, the named primary and backup coverage logic, the named agent preferences and rotation fairness, the named handoff times, the named on-call structure if applicable. Shift designs that ignore agent preferences produce attrition.

92. Voice of customer (VoC) memo to product

Period: [paste]. Customer feedback themes from tickets: [paste with frequency and severity]. Product roadmap: [paste]. Draft a 500-word VoC memo: the named top three themes ranked by impact and frequency, the named affected accounts and dollar value where named, the named product roadmap response (in plan, deferred with rationale, declined with rationale), the named customer comms plan, the named feedback loop cadence. VoC memos delivered as bug bash lists without prioritization produce no product action.

93. Support tooling vendor evaluation

Tooling need: [paste, e.g. help desk, KB, AI agent, QA tool]. Current state: [paste]. Draft a 600-word evaluation memo: the named requirements with weighted criteria, the named vendor shortlist with strengths and weaknesses, the named integration considerations, the named pricing and TCO analysis, the named pilot or POC structure, the named decision criteria. Tooling decisions made by demo enthusiasm without weighted criteria produce buyer regret.

94. AI agent or automation rollout plan

Automation scope: [paste, e.g. AI agent, deflection bot, macro suggester]. Use cases: [paste]. Draft a 600-word rollout plan: the named target deflection rate, the named training data and KB readiness, the named human handoff design, the named quality monitoring, the named customer-facing transparency, the named iteration cadence. AI agent rollouts launched without quality monitoring produce CSAT damage that takes a year to recover.

95. Crisis incident command structure

Incident type: [paste, e.g. major outage, security breach, viral complaint]. Available team: [paste]. Draft a 500-word incident command memo: the named incident commander role, the named comms lead, the named technical lead, the named cadence of updates internally and externally, the named decision authority during the incident, the named post-incident review trigger. Support incidents without incident command produce conflicting customer messaging.

96. Annual support function review

Year performance: [paste comprehensive metrics, named events, named improvements]. Strategic context: [paste]. Draft a 700-word annual review memo: the named year-over-year movements on KPIs, the named investments that paid off, the named investments that did not, the named structural changes in support discipline, the named risks for next year, the named asks of leadership, the named next-year priorities. Annual reviews that report metrics without causal analysis produce no organizational learning.

97. Support budget annual plan

Volume forecast: [paste]. Current cost structure: [paste headcount, tooling, training]. Strategic priorities: [paste]. Draft a 700-word budget plan: the named volume-driven headcount, the named tooling and automation investments, the named training and quality investments, the named contingency, the named cost-per-ticket trend, the named board-friendly framing. Support budgets built without cost-per-ticket framing produce CFO pushback.

98. Cross-functional alignment with product, sales, success

Current friction with adjacent functions: [paste]. Goals: [paste]. Draft a 500-word alignment memo: the named friction sources, the named handoff agreements per function, the named shared KPIs (CSAT, time-to-value, NPS, retention), the named cadence of reviews, the named escalation paths. Cross-functional alignment without shared KPIs produces blame cycles.

99. Support team morale check

Team size: [paste]. Recent events: [paste launches, outages, leadership change]. Observable signals: [paste]. Draft a 500-word morale assessment: the named leading indicators (queue length, tone in standups, attrition signals, internal chat sentiment), the named lagging indicators (CSAT, QA scores, ticket handling time drift), the named specific actions in the next 30 days, the named escalation if signals worsen. Support team morale assessed only annually produces surprise resignations.

100. Support transformation roadmap (24-month)

Current state: [paste]. Strategic ambition: [paste, e.g. AI-augmented support, omnichannel, self-service-first]. Constraints: [paste]. Draft a 700-word transformation roadmap: the named pillars of transformation (tooling, automation, team design, KB, quality, training), the named phased milestones over 6/12/18/24 months, the named investments per pillar, the named risks and dependencies, the named success metric at each milestone, the named kill criterion per pillar, the named executive sponsor. Support transformation roadmaps without kill criteria become 24-month wish lists.

How the prompts fit a real support week and year

Daily: ticket triage with prompted first replies, diagnostic batches, real-time escalation responses, end-of-shift handoff memos, internal team chat standups.

Weekly: queue health check, SLA pacing, CSAT pulse, top-categories review, ticket quality reviews on sample, internal team retro, KB article gap log.

Monthly: CSAT analysis with named root causes, agent coaching memos, KB article audits, macro audits, deflection program review, capacity check, VoC memo to product.

Quarterly: board reporting, QBR with product and sales leadership, agent performance reviews, capacity planning, training program refresh, support tooling reviews.

Annually: annual support function review, budget plan, KB strategy memo, support transformation roadmap, hiring rubric refresh, vendor renewals, named incidents post-mortem cohort review.

A good first reply names the issue before performing concern. A good KB article deflects a hundred future tickets. A good CSAT analysis names a root cause. The support job is reply work, documentation work, and analysis work in combination.PromptLeadz AI Customer Support Pack, Section 6

Five mistakes that wreck support prompts

1. Filling the prompt with vibes instead of named ticket context. The prompts ask for the specific customer, issue, account history, policy reference, and prior resolution attempts. Filling with "frustrated customer" or "complex issue" produces generic templated output that customers learn to ignore.

2. Pasting LLM output directly into customer responses. The prompts produce drafts. The actual reply is the draft after the agent has named the specific customer-side context, removed LLM-cliche phrasing, and verified policy. Customers can spot raw LLM responses now; trust suffers.

3. Skipping the supervisor routing on refunds, exceptions, and legal-implication tickets. Several prompts contain explicit routing guidance. The cost of an unauthorized refund or a legal admission is much higher than the time saved by skipping the route.

4. Treating macros and KB articles as set-and-forget. The pack includes audit prompts for both because both decay. Macros become robotic at scale. KB articles drift out of sync with the product. The discipline is the audit cadence.

5. Reporting metrics without root cause analysis. The CSAT and weekly report prompts force named root causes. Reports that present numbers without causes produce no organizational learning.

Sources and further reading

The pack draws on a body of public work from senior support practitioners and CX researchers. Recommended reading for support leaders who want depth beyond the threads.

Mathew Patterson and the Help Scout blog at helpscout.com/blog remains the most practitioner-grade public body of customer support writing.

Sarah Hatter's writing on customer service at CX foundations is foundational reading on the empathetic register.

Intercom's support content at intercom.com/blog covers scaling support, AI augmentation, and modern customer experience.

Zendesk's CX research reports are the most rigorous public benchmarking data on customer experience trends.

Matt Dixon's The Effortless Experience (with Karen Freeman and Nick Toman) is the foundational research on customer effort as the primary CSAT driver and the antidote to "delight" theater.

Support Driven community at supportdriven.com is the most useful peer community for working support leaders.

About PromptLeadz

PromptLeadz publishes free component-built prompt packs and the production-grade Drop-in utilities that wrap them. The franchise covers role-based packs (PM, EM, CSM, Sales Leader, AE, Operator, Data Analyst, VC, HR, CMO, Customer Support), format-based packs (.md agent files in breadth and depth), and the underlying frameworks (the 8-Component Skeleton, the Anti-Prompt-Engineering Manifesto).

Every pack rejects the LinkedIn-influencer voice at the prompt level by banning the genre's signature phrases inline. The result is output calibrated for memos that survive peer review, not threads that go viral. Free packs ship with no email gate at promptleadz.com.

Questions people ask about AI customer support prompts

The franchise: free packs, frameworks, and the manifesto

The thesis: The Anti-Prompt-Engineering Manifesto. The framework: The 8-Component Skeleton.

Free packs, no email gate · Calibrated for 2026 frontier models · promptleadz.com