PromptBase
Upgrade
Close icon
General
Home
Marketplace
Create
Hire
Login
Chat
Sell
Explore

Prompt Details

Model
(claude-5-sonnet)
Token size
4,355
Example input
[WORK_ITEMS_AND_BUSINESS_SIGNALS]: Incident INC-104: Checkout API latency increased from normal levels to repeated p95 spikes during peak usage. Three customer-support tickets reference slow checkout. An engineering workshop note says database connections may be saturating, but no query-plan evidence has been collected. Incident INC-108: Password-reset emails are occasionally delayed by 10–20 minutes. Support received six complaints this month. Request REQ-77: Sales asked for a new reporting filter before the next enterprise demo. Email from Head of Customer Success: “Checkout reliability is becoming a recurring customer conversation and we need clarity before the next renewal cycle.” Workshop note: Several engineers suspect connection-pool pressure may also affect order-processing jobs. [DOMAIN_RISK_FOCUS]: Application Layer, Database, Integration Layer
Example output
Note: this input set has fewer than 12 items, so it runs at full depth with no consolidation pass. ## 1. EXECUTIVE FIX PRIORITY SUMMARY Four work items were supplied: two incidents (checkout latency, delayed password-reset emails), one feature request (reporting filter), and one supporting workshop note plus one customer-success email, both of which attach to the checkout incident rather than standing alone. The evidence points to a possible shared root cause — database connection-pool saturation — linking checkout latency (INC-104) to a suspected but unconfirmed effect on order-processing jobs. This is the highest-leverage thread to investigate, but it is currently **PLAUSIBLE, not CONFIRMED**: no query-plan or connection-pool metrics were supplied. INC-108 (password-reset delay) shows a different, unrelated impact pattern (email delivery timing, not API latency) and no evidence ties it to the same mechanism. REQ-77 is a feature request with a business deadline, not a defect, and is sequenced separately. ## 2. BUSINESS PRESSURE & COMMUNICATION SIGNALS | Signal | Source | What Was Actually Said/Observed | Interpretation | Confidence | |---|---|---|---|---| | Customer escalation | 3 support tickets (INC-104) | {CONFIRMED — evidence: "Three customer-support tickets reference slow checkout"} | Customers are noticing and reporting checkout slowness | CONFIRMED | | Repeated complaint | 6 support tickets (INC-108) | {CONFIRMED — evidence: "Support received six complaints this month"} | Higher volume of complaints than INC-104, but about a different symptom | CONFIRMED | | Executive/stakeholder attention + trust concern | Email, Head of Customer Success | {CONFIRMED — evidence: "Checkout reliability is becoming a recurring customer conversation and we need clarity before the next renewal cycle"} | A named stakeholder is linking checkout reliability to renewal risk, on a stated timeline | CONFIRMED | | Sales/delivery pressure | Request REQ-77 | {CONFIRMED — evidence: "Sales asked for a new reporting filter before the next enterprise demo"} | A deadline-bound feature ask, not an incident | CONFIRMED | | Workshop consensus (partial) | Engineering workshop note | {CONFIRMED — evidence: "Several engineers suspect connection-pool pressure may also affect order-processing jobs"} | This is stated as suspicion ("suspect"), not a confirmed finding | HIGHLY LIKELY (as a hypothesis worth investigating) — not confirmed as fact | I am not labeling the organization "panicked" or "frustrated" — no supplied text supports that characterization; the Customer Success email is a business-risk warning, not an emotional description. **Overall climate: MIXED SIGNALS.** {CONFIRMED — evidence: "Checkout reliability is becoming a recurring customer conversation and we need clarity before the next renewal cycle"} shows concentrated pressure specifically on checkout tied to a business deadline (renewal cycle), while INC-108 has higher raw complaint volume but no equivalent executive-level statement attached. REQ-77 adds a separate, unrelated deadline pressure (enterprise demo). ## 3. DOMAIN RISK VIEW Focus domains requested: Application Layer, Database, Integration Layer. **INC-104 (Checkout API latency)** - PRIMARY DOMAIN: Database (suspected — connection saturation) / Application Layer (API latency observed here) - SECONDARY DOMAIN: Integration Layer (checkout typically integrates payment/order services, but no evidence supplied on this) - DOMAIN EXPOSURE: {PLAUSIBLE — reasoning: latency symptom is observed at the API/application layer, and the workshop note names database connection saturation as a suspected cause, but no query-plan or pool-metric evidence has been collected} - POSSIBLE CROSS-DOMAIN PROPAGATION: {PLAUSIBLE — reasoning: if connection-pool saturation is real, it is architecturally capable of affecting any service sharing that pool, which is the basis for the order-processing suspicion below} - DOMAIN-SPECIFIC RISK: Database connection exhaustion, if real, is a shared-resource risk that can propagate beyond checkout. **INC-108 (Password-reset email delay)** - PRIMARY DOMAIN: Integration Layer (email delivery is typically an external/integrated service) - SECONDARY DOMAIN: NO MATERIAL DOMAIN LINK FOUND to Database — nothing supplied connects reset-email delay to connection-pool pressure. - DOMAIN EXPOSURE: {UNKNOWN — missing fact: no information on what system sends the reset email (queue, third-party provider, internal job) or why it's delayed} **REQ-77 (Reporting filter)** - NO MATERIAL DOMAIN LINK FOUND to Database, Application Layer defect risk, or Integration Layer — this is a net-new feature request, not a fault in an existing domain. **Order-processing jobs (raised only in workshop note, not its own item)** - PRIMARY DOMAIN: Database (shared connection pool, per the suspicion) - DOMAIN EXPOSURE: {PLAUSIBLE — reasoning: "Several engineers suspect connection-pool pressure may also affect order-processing jobs" is a stated suspicion with no independent evidence (no job-failure logs, no timing data) supplied} ## 4. NORMALIZED WORK ITEM REGISTER **INC-104** - SOURCE TYPE: Incident - SYSTEM/COMPONENT: Checkout API; suspected shared database connection pool - PROBLEM: p95 latency spikes during peak usage - OBSERVED IMPACT: Repeated latency spikes; 3 customer support tickets citing slow checkout - AFFECTED USERS/TEAMS: Customers experiencing checkout; Customer Success (per email) - RECURRENCE: {CONFIRMED — evidence: "repeated p95 spikes during peak usage"} — recurring, tied to peak load - CURRENT STATUS: Open, unconfirmed root cause - REQUESTED ACTION: None explicitly requested in the text; implied need for investigation - RELATED ITEMS: Workshop note (connection-pool suspicion), CS email (renewal-cycle pressure) - SOURCE EVIDENCE: Incident description, 3 support tickets, workshop note, CS email - UNCERTAINTIES: No query-plan evidence; no confirmed connection-pool metrics; no confirmed link to order-processing jobs **INC-108** - SOURCE TYPE: Incident - SYSTEM/COMPONENT: Password-reset email delivery - PROBLEM: Emails delayed 10–20 minutes, occasionally - OBSERVED IMPACT: {CONFIRMED — evidence: "Support received six complaints this month"} - AFFECTED USERS/TEAMS: Users attempting password reset - RECURRENCE: {CONFIRMED — evidence: "occasionally delayed"} — intermittent, not continuous - CURRENT STATUS: Open - REQUESTED ACTION: None explicitly stated - RELATED ITEMS: None identified — no supplied evidence links this to INC-104 or the connection-pool suspicion - SOURCE EVIDENCE: Incident description, 6 support complaints - UNCERTAINTIES: Root cause (queue delay? third-party mail provider? internal job scheduling?) not supplied **REQ-77** - SOURCE TYPE: Service/Stakeholder Request - SYSTEM/COMPONENT: Reporting - PROBLEM: N/A — feature request, not a defect - OBSERVED IMPACT: None (not yet built) - AFFECTED USERS/TEAMS: Sales, enterprise demo audience - RECURRENCE: N/A - CURRENT STATUS: Requested, not started - REQUESTED ACTION: {CONFIRMED — evidence: "Sales asked for a new reporting filter before the next enterprise demo"} - RELATED ITEMS: None - SOURCE EVIDENCE: Sales request - UNCERTAINTIES: Demo date not supplied; scope of "filter" not supplied ## 5. TECHNICAL IMPACT MATRIX | Item | User Impact | Service Impact | Data Impact | Availability | Performance | Reliability | Security | Operability | Recovery | Change/Deploy | |---|---|---|---|---|---|---|---|---|---|---| | INC-104 | MEDIUM {CONFIRMED — evidence: "Three customer-support tickets reference slow checkout"} | MEDIUM | UNKNOWN | LOW (no outage evidence) | HIGH {CONFIRMED — evidence: "repeated p95 spikes during peak usage"} | UNKNOWN (no recovery-time data) | UNKNOWN | UNKNOWN | UNKNOWN | UNKNOWN | | INC-108 | MEDIUM {CONFIRMED — evidence: "six complaints this month"} | LOW-MEDIUM | UNKNOWN | LOW | MEDIUM (10–20 min delay, stated) | UNKNOWN | LOW (no security signal supplied) | UNKNOWN | UNKNOWN | UNKNOWN | | REQ-77 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | No HIGH classification above lacks a cited evidence pointer. ## 6. RECURRENCE & PERSISTENCE VIEW - INC-104: **RECURRING**, tied to peak-usage periods. {CONFIRMED — evidence: "repeated p95 spikes during peak usage"} This is directly evidenced, not inferred from repeated mentions of a single event. - INC-108: **INTERMITTENT**. {CONFIRMED — evidence: "occasionally delayed by 10–20 minutes"} Directly evidenced. - REQ-77: N/A (not a fault). Neither incident's recurrence classification is built from repeated references to one historical event — both describe an ongoing pattern in the source text itself. ## 7. DEPENDENCY & PROPAGATION MAP Only one chain is supported by supplied evidence, and it is explicitly a suspicion, not a confirmed architecture fact: ``` Database connection pool (suspected saturation) → Checkout API latency (INC-104, observed) → [SUSPECTED, UNCONFIRMED] Order-processing job slowdown (workshop note only — no job-failure or timing evidence supplied) → Business consequence: Customer Success reports renewal-cycle risk tied to checkout reliability ``` I cannot extend this chain to INC-108 — no supplied evidence connects password-reset email delivery to the checkout/database chain. Treating them as related would be inventing a technical root cause. REQ-77 has no dependency chain — it is additive scope, not a fault propagation. ## 8. RISK OF NOT FIXING **INC-104** - SHORT-TERM RISK: MODERATE — recurring peak-time latency continuing to generate support tickets - MEDIUM-TERM RISK: {HIGH — evidence: "Checkout reliability is becoming a recurring customer conversation and we need clarity before the next renewal cycle"} — a named stakeholder has tied this to renewal risk on a stated timeline - ACCUMULATION RISK: PLAUSIBLE (reasoning: if connection-pool saturation is real and unaddressed, load growth would worsen it, but no trend data was supplied to confirm "trending worse") - REPEAT INCIDENT RISK: HIGH — recurrence is confirmed - CUSTOMER/USER RISK: MEDIUM-HIGH per the CS email and ticket volume - DELIVERY RISK: UNKNOWN (no delivery-blocking evidence supplied) - OPERATIONAL BURDEN: MODERATE (3 tickets, one workshop discussion) - TECHNICAL DEBT AMPLIFICATION: PLAUSIBLE if the suspected pool-sharing with order-processing is real **INC-108** - SHORT-TERM RISK: MODERATE — repeated user friction at account-recovery, a sensitive moment - MEDIUM-TERM RISK: LOW-MODERATE — no stakeholder statement elevates this beyond support-ticket volume - ACCUMULATION RISK: UNKNOWN - REPEAT INCIDENT RISK: HIGH — recurrence confirmed (intermittent, ongoing) - CUSTOMER/USER RISK: MODERATE — 6 complaints, no churn/renewal linkage stated - DELIVERY RISK: UNKNOWN - OPERATIONAL BURDEN: MODERATE-HIGH (highest raw complaint count of the two incidents) - TECHNICAL DEBT AMPLIFICATION: UNKNOWN Neither item is classified CRITICAL — no evidence of outage, data loss, or security consequence was supplied for either. ## 9. PRIORITY CHALLENGE TEST - **Is INC-104's urgency evidence-based or stakeholder-volume-based?** Both: 3 tickets (lower volume than INC-108's 6) plus one specific, named-stakeholder statement tying it to renewal risk. The stakeholder statement is the differentiator, not ticket count. - **Is the database root cause confirmed for INC-104?** No — {PLAUSIBLE, evidence: engineering workshop note states connection saturation "may" be the cause, and explicitly notes "no query-plan evidence has been collected"}. This stays PLAUSIBLE, not CONFIRMED, and that ceiling matters for priority (see Rule 2 below). - **Could a lower-ranked issue (INC-108) be a symptom of the same root cause as INC-104?** No evidence supports this — different subsystems (email delivery vs. checkout API), no shared-evidence pointer supplied. Treated as independent. - **Would fixing the suspected database issue resolve multiple items at once?** Possibly INC-104 and the order-processing concern — but the order-processing concern isn't an independently reported item, only a workshop suspicion. This increases INC-104's dependency centrality but doesn't create a second confirmed item to resolve. - **Is REQ-77 actually competing for the same engineering capacity as the incidents?** Likely yes (same engineering org) but no evidence specifies which team/engineers; sequenced separately in Section 11. No priority was changed by this test, but the evidence ceiling from the second question directly caps INC-104 below P0 (see below). ## 10. FINAL PRIORITIZATION TABLE | Priority | Item | Why Now | Technical Risk | Business Pressure | Recurrence | Domain | Evidence Confidence | Dependency Impact | Action | |---|---|---|---|---|---|---|---|---|---| | **P1** | INC-104 | Recurring peak-time latency + named-stakeholder renewal-risk statement | HIGH (latency) / root cause PLAUSIBLE | HIGH (concentrated, renewal-tied) | RECURRING | Database/Application Layer | PLAUSIBLE (root cause) | Possible driver of order-processing suspicion | Investigate DB connection pool | | **P2** | INC-108 | Ongoing complaint volume, no confirmed business-critical linkage | MEDIUM | MODERATE | INTERMITTENT | Integration Layer | UNKNOWN (root cause) | None confirmed | Investigate delivery path | | **P2** | REQ-77 | Deadline-bound sales ask, not a defect | N/A | MODERATE (demo deadline, no date given) | N/A | N/A | CONFIRMED (request itself) | None | Scope against demo date | | NEEDS EVIDENCE | Order-processing job impact | Only a workshop suspicion, no independent report | UNKNOWN | UNKNOWN | UNKNOWN | Database | UNKNOWN | Tied to INC-104 if confirmed | Collect job-failure/timing data | **WHY / EVIDENCE / WHAT WOULD CHANGE PRIORITY / CONFLICT RULE — INC-104:** - WHY: Confirmed recurring latency plus a confirmed, dated business-pressure statement (renewal cycle) from a named stakeholder. - EVIDENCE: {CONFIRMED — evidence: "repeated p95 spikes during peak usage"}; {CONFIRMED — evidence: "Checkout reliability is becoming a recurring customer conversation and we need clarity before the next renewal cycle"} - WHAT WOULD CHANGE PRIORITY: Query-plan or connection-pool metrics confirming saturation → P0. Evidence of actual order-processing job failures → P0 (dependency centrality would strengthen). A stated renewal date within days → P0 (Rule 1, irreversible business consequence). - CONFLICT RULE APPLIED: **Rule 2** — evidence confidence gates the ceiling. Technical severity for the latency symptom is HIGH and confirmed, and business pressure is HIGH and confirmed, which would suggest P0 — but the *root cause* (the axis the case actually rests on, connection-pool saturation) is only PLAUSIBLE, so the item is capped at P1 until that evidence is collected. **WHY / EVIDENCE / WHAT WOULD CHANGE PRIORITY / CONFLICT RULE — INC-108:** - WHY: Confirmed, ongoing complaint pattern with no confirmed connection to a larger system risk. - EVIDENCE: {CONFIRMED — evidence: "Support received six complaints this month"} - WHAT WOULD CHANGE PRIORITY: A stakeholder statement tying this to renewal/trust risk (parallel to INC-104's email) → P1. Evidence linking it to the same infrastructure as INC-104 → reclassify jointly. - CONFLICT RULE APPLIED: No conflict — technical risk (MEDIUM) and business pressure (MODERATE) agree without needing the hierarchy. **WHY / EVIDENCE / WHAT WOULD CHANGE PRIORITY / CONFLICT RULE — REQ-77:** - WHY: Legitimate, deadline-bound business request; not a system risk. - EVIDENCE: {CONFIRMED — evidence: "Sales asked for a new reporting filter before the next enterprise demo"} - WHAT WOULD CHANGE PRIORITY: A supplied demo date inside the current sprint window → P1. - CONFLICT RULE APPLIED: No conflict — this item isn't scored on the technical/business risk axes at all; it's sequenced on deadline. ## 11. EXECUTION SEQUENCE - **FIX FIRST:** INC-104 investigation (collect query-plan and connection-pool metrics) — this is the evidence gap blocking a P0/P1 decision and, per Rule 3 (dependency centrality), potentially unblocks understanding of the order-processing suspicion too. - **CAN RUN IN PARALLEL:** INC-108 root-cause investigation — no shared component confirmed with INC-104, so no sequencing dependency. - **CAN RUN IN PARALLEL:** REQ-77 scoping/estimation — separate team surface (reporting), doesn't block or get blocked by the incidents. - **BLOCKED BY:** Any fix to the "order-processing slowdown" is blocked by confirming it's real — currently just a suspicion, not an actionable item. - **DEFER UNTIL:** REQ-77 build work, until the demo date is known and weighed against INC-104/108 engineering capacity. - **MONITOR ONLY:** None at this time — both incidents have active, recent complaint signals. ## 12. EVIDENCE GAPS | Missing Evidence | Why It Matters | Decision Blocked | How to Collect | Priority Impact if Confirmed | |---|---|---|---|---| | Query-plan / connection-pool utilization data for checkout DB | Root cause of INC-104 is currently only PLAUSIBLE | Whether INC-104 is P0 or P1 | Pull DB connection-pool metrics during a peak-window spike; capture slow query log | Could move INC-104 to P0 (Rule 1) | | Order-processing job failure/timing logs | Determines if the workshop suspicion is a real, second affected system | Whether order-processing is a separate NEEDS EVIDENCE item to prioritize or can be closed as unrelated | Pull job success/failure/duration logs for the same time windows as INC-104 spikes | Could elevate INC-104's dependency centrality and create a new confirmed item | | Password-reset email pipeline architecture (queue vs. third-party provider) | Determines INC-108's actual domain and whether it's even in scope of the requested domain focus | Where to route the INC-108 investigation | Trace one delayed reset email end-to-end through the sending pipeline | Could reclassify INC-108's domain and technical risk | | Renewal-cycle date(s) referenced in the CS email | Determines how time-boxed the INC-104 business pressure actually is | Whether INC-104 should be P0 under Rule 1 | Ask Head of Customer Success for the specific renewal date(s) at risk | Could move INC-104 to P0 if the date is near-term | | REQ-77 demo date | Determines REQ-77's actual sequencing urgency | Whether REQ-77 competes with incident work for the same sprint | Ask Sales for the demo date | Could move REQ-77 to P1 | ## 13. VALIDATION & EXIT CRITERIA **INC-104** - FIX OBJECTIVE: Eliminate peak-time p95 latency spikes in checkout API - VALIDATION SIGNAL: p95 latency stays within normal baseline during at least one subsequent peak-usage window - EXPECTED IMPROVEMENT: Reduction in checkout-related support tickets - FAILURE SIGNAL: Spikes recur despite the connection-pool fix, indicating a different or additional root cause - REGRESSION RISK: Changes to connection-pool sizing/config could affect other services sharing the pool (including the suspected order-processing jobs) — monitor those alongside checkout - OBSERVATION REQUIRED: At least one full peak-usage cycle post-fix before declaring resolution **INC-108** - FIX OBJECTIVE: Reset emails delivered within a defined SLA (target TBD — not supplied) - VALIDATION SIGNAL: Delivery-time measurements across a sample of resets post-fix - EXPECTED IMPROVEMENT: Reduction in support complaints about reset delay - FAILURE SIGNAL: Delays persist or worsen - REGRESSION RISK: UNKNOWN — depends on where in the pipeline the fix is applied - OBSERVATION REQUIRED: Delivery-time sampling over at least the current complaint window (one month) post-fix I am not claiming either fix has succeeded — no post-fix evidence has been supplied. ## 14. SOFTWARE FIX PRIORITY PACK **FIX NOW** *(None qualify as P0 — see Evidence Gaps; both incidents require investigation before a fix can be scoped.)* **FIX NEXT** - **INC-104**: Reason — recurring, confirmed latency plus confirmed renewal-tied business pressure. Evidence — support tickets + CS email + workshop note (root cause unconfirmed). First action — pull DB connection-pool metrics and slow-query logs during next peak window. **INVESTIGATE FIRST** - **INC-104 root cause**: connection-pool saturation is PLAUSIBLE, not CONFIRMED. - **Order-processing job impact**: currently a workshop suspicion only, no independent evidence. - **INC-108 root cause**: pipeline stage causing delay is UNKNOWN. **DEFER / MONITOR** - **REQ-77**: Legitimate but non-defect, deadline unspecified — defer until demo date is known and weighed against incident-investigation capacity. **CROSS-CUTTING ROOT ISSUE** NO SHARED ROOT ISSUE CONFIRMED between INC-104 and INC-108. A possible shared mechanism exists *within* INC-104 (connection pool → checkout + order-processing), but this itself is PLAUSIBLE, not confirmed. **BUSINESS PRESSURE SIGNAL** Concentrated, renewal-cycle-linked pressure on checkout reliability (INC-104) from a named stakeholder; separate, deadline-bound sales pressure on REQ-77; ongoing but less escalated complaint volume on INC-108. **DOMAIN RISK SIGNAL** Within the requested focus (Application Layer, Database, Integration Layer): INC-104 is the only item with a plausible Database-layer mechanism; INC-108 sits in Integration Layer with unknown specifics; REQ-77 has no material link to any focus domain. **FIRST ENGINEERING ACTION** Pull checkout-service database connection-pool utilization metrics and slow-query logs for the next peak-usage window (and, if feasible, the most recent past spike if logs are retained). **FIRST EVIDENCE ACTION** Same as above — this single dataset resolves the largest number of open uncertainties (INC-104 root cause, order-processing linkage, P0/P1 determination). **REPRIORITIZE WHEN** Connection-pool/query-plan evidence is collected, OR a specific near-term renewal date is confirmed, OR order-processing job failures are independently reported. **STATUS** READY WITH EVIDENCE GAPS ## 15. MACHINE-READABLE PRIORITY PACK ```json { "generated_from": "3 items (2 incidents + 1 request), 0 CONFIRMED-only items, 1 needs-evidence sub-item (order-processing linkage)", "items": [ { "item_id": "INC-104", "priority": "P1", "why_now": "Recurring peak-time checkout latency confirmed; renewal-tied business pressure confirmed via named-stakeholder email", "evidence_confidence": "HIGHLY_LIKELY", "conflict_rule_applied": "2", "technical_risk": "HIGH", "business_pressure": "HIGH", "recurrence": "RECURRING", "primary_domain": "Database", "dependency_impact": { "blocks": ["order-processing-job-linkage-determination"], "blocked_by": [], "fix_together_with": [] }, "sequencing": "FIX_FIRST", "first_action": "Pull DB connection-pool utilization metrics and slow-query logs during next peak window", "validation_signal": "p95 latency within baseline across a subsequent peak-usage window", "failure_signal": "Latency spikes recur after connection-pool remediation" }, { "item_id": "INC-108", "priority": "P2", "why_now": "Ongoing, confirmed complaint volume; no confirmed link to a broader system risk", "evidence_confidence": "CONFIRMED", "conflict_rule_applied": "none", "technical_risk": "MEDIUM", "business_pressure": "MODERATE", "recurrence": "INTERMITTENT", "primary_domain": "Integration Layer", "dependency_impact": { "blocks": [], "blocked_by": [], "fix_together_with": [] }, "sequencing": "CAN_RUN_IN_PARALLEL", "first_action": "Trace a delayed reset email end-to-end through the sending pipeline", "validation_signal": "Delivery-time sampling shows resets within target SLA", "failure_signal": "Delays persist or worsen after pipeline fix" }, { "item_id": "REQ-77", "priority": "P2", "why_now": "Deadline-bound sales request, not a defect; demo date not yet known", "evidence_confidence": "CONFIRMED", "conflict_rule_applied": "none", "technical_risk": "UNKNOWN", "business_pressure": "MODERATE", "recurrence": null, "primary_domain": null, "dependency_impact": { "blocks": [], "blocked_by": [], "fix_together_with": [] }, "sequencing": "DEFER_UNTIL", "first_action": "Get enterprise demo date from Sales", "validation_signal": "Filter delivered and functional before demo date", "failure_signal": "Demo date arrives without feature delivered" }, { "item_id": "ORDER-PROCESSING-LINKAGE", "priority": "NEEDS_EVIDENCE", "why_now": "Workshop suspicion only; no independent report of job failures or delays", "evidence_confidence": "PLAUSIBLE", "conflict_rule_applied": "none", "technical_risk": "UNKNOWN", "business_pressure": "INSUFFICIENT_EVIDENCE", "recurrence": "UNKNOWN", "primary_domain": "Database", "dependency_impact": { "blocks": [], "blocked_by": ["INC-104"], "fix_together_with": [] }, "sequencing": "MONITOR_ONLY", "first_action": "Pull job success/failure/duration logs for same windows as INC-104 spikes", "validation_signal": null, "failure_signal": null } ], "cross_cutting_root_issue": null, "reprioritize_when": "Connection-pool/query-plan evidence collected, OR near-term renewal date confirmed, OR order-processing job failures independently reported", "status": "READY_WITH_EVIDENCE_GAPS" } ```
🌀 Claude

Software Fix Prioritization

Add to Cart
Instant accessInstant access
Usage rightsCommercial use
Money-back guaranteeMoney‑back
By purchasing this prompt, you agree to our terms of service
CLAUDE-5-SONNET
Tested icon
Guide icon
4 examples icon
Free credits icon
Software Fix Prioritization & Business Risk Engine Turn incidents, bugs, requests, emails, workshop notes, and stakeholder signals into an evidence-based software fix priority plan. This prompt separates technical severity from business pressure, identifies recurrence and dependency risk, applies optional domain-focused risk analysis, challenges weak priorities, and produces a ranked remediation plan with execution sequence, evidence gaps, and validation criteria.
...more
Added 5 hours ago
Report
Browse Marketplace