user-feedback-loop-report

name

user-feedback-loop-report

description

Use when consolidating user feedback processing into a complete deliverable loop report. User feedback loop report auto-generation, including feedback source analysis, processing progress tracking, closure rate statistics, unresolved issues, and improvement suggestions. Keywords: user feedback loop, feedback report, feedback tracking, closure rate, VOC closure, feedback processing, feedback processed yet, user opinions.

User Feedback Loop Report Generation

Core Principles

Every piece of user feedback deserves a response

The core value of the user feedback loop report lies in ensuring every piece of user feedback has a beginning and an end. Closure is not a formal "read" status, but a substantive "processed" or "decided" status. Unclosed feedback is a loss of user trust.

Interaction Mode

🤖→👤 AI Suggests, Human Approves

Input

Input Item	Type	Required	Source	Description
User Voice Analysis	markdown	No	user-research-voice-analysis	Sentiment analysis, topic extraction, pain point list
Anomaly Monitoring Data	markdown	No	monitoring-pipeline	Anomaly events, user impact scope
Feedback Data	text	Yes	User input	Raw user feedback data from various channels
Processing Records	text	No	User input	Records and results of processed feedback

Degradation Strategy

Missing Input	Degradation Plan
No user voice analysis	Categorize and analyze based on raw feedback data independently, mark "Pending VOC deep analysis"
No anomaly monitoring data	Skip anomaly correlation analysis, mark "Pending monitoring data supplementation"
No processing records	Only count feedback sources and categories, closure rate marked "Pending processing record supplementation"
No feedback data	If user does not provide feedback data, prompt user to provide or skip related input steps

Execution Steps

Step 1: Feedback Source Analysis [Core]

Analyze and compile the distribution of feedback sources:

1. Channel Distribution: In-app feedback / Customer service tickets / Social media / App stores / Community / Email
2. Sentiment Distribution: Positive / Neutral / Negative and their proportions
3. Topic Distribution: Feedback distribution categorized by functional module
4. Time Trend: Time-based trend of feedback volume

Step 2: Processing Progress Tracking [Conditional]

Track the processing status of each feedback item:

1. Status Classification:
   • 🆕 New (unprocessed)
   • 👀 Evaluating (confirming validity)
   • 📋 Scheduled (included in iteration plan)
   • 🔨 In Progress (development/fix in progress)
   • ✅ Closed (issue resolved and verified)
   • ❌ Dismissed (not processing, with reason)
2. Processing Timeliness: Average dwell time per status
3. Bottleneck Identification: Blockages in the processing workflow

Step 3: Closure Rate Statistics [Core]

Calculate and track feedback closure rates:

1. Overall Closure Rate: Closed + Dismissed / Total feedback
2. Closure Rate by Channel: Closure rate comparison across channels
3. Closure Rate by Severity: Closure rates for P0/P1/P2/P3
4. Closure Timeliness: Average time from feedback to closure
5. Trend Comparison: Closure rate comparison with previous period

Step 4: Unresolved Issue Analysis [Conditional]

Analyze feedback that has not yet been closed:

1. P0/P1 Unresolved List: High-priority unresolved issues
2. Long-standing Unresolved: Feedback not closed for over 30 days
3. Repeated Feedback: Similar issues reported multiple times
4. Root Cause Analysis: Primary reasons categorized for unclosed feedback

Step 5: Improvement Suggestions [Deep]

Propose improvement suggestions based on closure analysis:

1. Process Improvement: Workflow optimization to reduce processing time
2. Product Improvement: Product optimization directions corresponding to high-frequency feedback
3. Communication Improvement: Communication strategies for responding to user feedback
4. Preventive Measures: Prevention plans to reduce similar feedback

Step 6: Report Assembly [Core]

Assemble the above content into a complete loop report.

Output Depth Grading

Depth Level	Output Scope	Description
quick	Closure rate and P0 unresolved list	Core conclusions + minimum viable deliverable
standard	Full deliverables (current default)	Complete deliverables including all Step outputs
deep	Full report + feedback trend prediction + root cause deep analysis + improvement roadmap	Full deliverables + extended analysis + deep simulation

Output

Output Files

File	Path	Description
Feedback Loop Report	output/pm-monitoring/user-feedback-loop-report/feedback-loop-report.md	Human-readable complete report
Structured Data	output/pm-monitoring/user-feedback-loop-report/feedback-loop-report.json	Machine-consumable structured data

Output Schema:

{
  "type": "object",
  "required": ["report_period", "summary", "closure_metrics"],
  "properties": {
    "report_period": {"type": "object", "description": "Report period, including start and end dates"},
    "report_date": {"type": "string", "description": "Report date"},
    "summary": {"type": "object", "description": "Executive summary, including total feedback count, closure rate, and P0 unresolved count"},
    "source_analysis": {"type": "object", "description": "Feedback source analysis, including channel/sentiment/topic distribution"},
    "processing_status": {"type": "object", "description": "Processing progress, including status distribution and bottlenecks"},
    "closure_metrics": {"type": "object", "description": "Closure rate statistics, including overall and by-channel/by-severity closure rates"},
    "unresolved": {"type": "object", "description": "Unresolved issues, including P0/P1 list and root cause analysis"},
    "improvement_suggestions": {"type": "array", "description": "Improvement suggestions list"}
  }
}

Markdown Report Structure

# User Feedback Loop Report: {Report Period}

## 1. Executive Summary
- Total feedback / Closure rate / Average closure time / P0 unresolved count

## 2. Feedback Source Analysis
- Channel distribution
- Sentiment distribution
- Topic distribution
- Time trend

## 3. Processing Progress Tracking
- Status distribution
- Processing timeliness
- Bottleneck identification

## 4. Closure Rate Statistics
- Overall closure rate
- By-channel/by-severity closure rates
- Closure timeliness
- Trend comparison

## 5. Unresolved Issues
- P0/P1 unresolved list
- Long-standing unresolved
- Repeated feedback
- Root cause analysis

## 6. Improvement Suggestions
- Process improvement
- Product improvement
- Communication improvement
- Preventive measures

JSON Structure

{
  "report_period": { "start": "", "end": "" },
  "report_date": "",
  "summary": {
    "total_feedback": 0,
    "closure_rate": 0,
    "avg_closure_time_days": 0,
    "p0_unresolved": 0
  },
  "source_analysis": {
    "channel_distribution": {},
    "sentiment_distribution": {},
    "topic_distribution": {},
    "time_trend": []
  },
  "processing_status": {
    "status_distribution": {},
    "avg_time_by_status": {},
    "bottlenecks": []
  },
  "closure_metrics": {
    "overall_rate": 0,
    "by_channel": {},
    "by_severity": {},
    "trend_comparison": {}
  },
  "unresolved": {
    "p0_p1_list": [],
    "long_standing": [],
    "repeated": [],
    "root_causes": []
  },
  "improvement_suggestions": []
}

Quality Checks

P0 Checks (must pass for quick/standard/deep)

• Closure rate is calculable (has clear closure definition and calculation formula)
• P0 unresolved items listed (all P0 unclosed feedback has a list)

P1 Checks (must pass for standard/deep)

• Timeliness data complete (average processing time per status is calculable)
• Improvement suggestions are actionable (each suggestion has a responsible party and timeline)

P2 Checks (must pass for deep only)

• Extended analysis complete (deep simulation and roadmap generated)
• Decision records complete (key decisions have rationale and alternatives)

Decision Rules

• When P0 feedback unresolved count > 0, the report must include a dedicated follow-up plan
• When closure rate < 80%, automatically generate process improvement suggestions
• When similar feedback appears ≥ 3 times, escalate to product improvement suggestion rather than case-by-case handling
• Decision points requiring human confirmation: feedback priority determination, closure criteria definition, dismissal reasons for closed feedback

Degradation Strategy

Missing Upstream Input	Degradation Plan	Output Impact
No user voice analysis	Analyze directly based on user-provided feedback data, mark "VOC analysis pending supplementation"	Feedback analysis lacks sentiment and topic dimensions
No anomaly monitoring data	Skip anomaly correlation analysis, mark "Monitoring data pending supplementation"	Association between feedback and anomaly events is missing
No processing records	Only count feedback volume and categories, closure rate marked "Cannot calculate"	Closure rate is not calculable

Output Validation Rules

Field Path	Type	Required	Description
summary	object	Yes	Executive summary, must contain total_feedback/closed_rate
source_analysis	object	Yes	Feedback source analysis
progress_tracking	object	No	Processing progress tracking
closed_rate	object	No	Closure rate statistics, must contain overall/by_category
unresolved_p0	array	No	P0 unresolved list
improvement_suggestions	array	No	Improvement suggestions list

Upstream Change Response

Upstream Change Impact Table

Upstream Source	Change Type	Impact Scope	Response Action
user-research-voice-analysis	VOC analysis results updated	Feedback source analysis and sentiment dimension	Update sentiment distribution and topic classification
monitoring-pipeline	Anomaly events updated	Feedback and anomaly correlation analysis	Update associated events and impact scope

Downstream Notification Mechanism Table

Downstream Consumer	Notification Condition	Notification Method	Notification Content
monitoring-orchestrator	Feedback loop report completed	Output file updated	Report completion status and key findings
iteration-retrospective	P0 unresolved feedback	Write to output file	P0 feedback list and improvement suggestions