/data-report

name: data-report
description: Use when creating data reports on Xiaohongshu performance, summarizing analytics findings, presenting insights to stakeholders, documenting marketing results, or building reporting templates

Data Report (数据报告制作)

Overview

Data report is the strategic synthesis of Xiaohongshu performance data into clear, actionable insights and recommendations presented through structured reports that inform decision-making, demonstrate ROI, and guide strategy optimization.

When to Use

**Use when**:

• Creating weekly/monthly performance reports
• Presenting analytics to stakeholders or clients
• Documenting campaign or activity results
• Summarizing quarterly or annual performance
• Making data-driven recommendations
• Demonstrating marketing ROI
• Building templates for ongoing reporting

**Do NOT use when**:

• Real-time monitoring needed (use dashboards)
• Quick status checks (use summary views)
• Exploratory analysis (use data-analytics)

Core Pattern

**Before**: Raw data, overwhelming numbers, unclear insights **After**: Clear insights, actionable recommendations, strategic guidance

**Report Structure**: 1. **Executive Summary** - Key findings at glance 2. **Performance Overview** - Metrics dashboard 3. **Deep Dive Analysis** - Detailed insights 4. **Recommendations** - Action items 5. **Appendices** - Supporting data

Quick Reference

| Report Type | Audience | Length | Frequency | Focus | |-------------|----------|--------|-----------|-------| | **Weekly Flash** | Internal team | 1-2 pages | Weekly | Quick insights | | **Monthly Review** | Stakeholders | 5-8 pages | Monthly | Comprehensive | | **Campaign Report** | Clients/Leaders | 3-5 pages | Per campaign | Results-focused | | **Quarterly Business Review** | Executives | 10-15 pages | Quarterly | Strategic | | **Annual Report** | All stakeholders | 20-30 pages | Annually | Holistic |

Implementation

Step 1: Define Report Objectives

**Clarify Report Purpose**:

Report Types by Objective:

Type 1: Performance Monitoring
- Audience: Internal team, manager
- Purpose: Track progress, identify issues
- Focus: KPIs, trends, goals
- Frequency: Weekly

Type 2: Results Demonstration
- Audience: Client, stakeholders
- Purpose: Show ROI, justify investment
- Focus: Outcomes, impact, achievements
- Frequency: Monthly, per campaign

Type 3: Strategic Planning
- Audience: Leadership, strategy team
- Purpose: Inform decisions, set direction
- Focus: Insights, opportunities, recommendations
- Frequency: Quarterly

Type 4: Optimization Guidance
- Audience: Content team, marketers
- Purpose: Improve performance
- Focus: What works, what doesn't, actions
- Frequency: Weekly, monthly

Type 5: Learning and Development
- Audience: All stakeholders
- Purpose: Share learnings, build knowledge
- Focus: Case studies, experiments, insights
- Frequency: Monthly, quarterly

**Establish Key Questions**:

Every Report Should Answer:

1. How did we perform? (Performance)
- What were our key metrics?
- Did we meet our goals?
- How do we compare to benchmarks?

2. Why did we perform this way? (Analysis)
- What worked well? Why?
- What didn't work? Why?
- What were the key drivers?

3. What should we do differently? (Action)
- What should we start doing?
- What should we stop doing?
- What should we continue doing?
- What should we test?

4. What did we learn? (Insights)
- New discoveries about audience
- Competitive insights
- Platform or trend changes
- Strategic implications

5. What's next? (Planning)
- Goals for next period
- Initiatives to launch
- Tests to run
- Resources needed

Step 2: Gather and Validate Data

**Data Collection Process**:

Data Sources:
Primary Sources:
✅ Xiaohongshu analytics platform
✅ Content performance exports
✅ Follower insights
✅ Engagement metrics
✅ Website/app analytics (if applicable)

Secondary Sources:
✅ Third-party tools (Huitun, etc.)
✅ Competitor data
✅ Industry benchmarks
✅ Market research
✅ Customer feedback

Data Validation Checklist:
✅ Date range accuracy (correct days covered)
✅ Metric definitions consistent
✅ No duplicate entries
✅ Missing data addressed
✅ Outliers investigated
✅ Calculations verified
✅ Cross-checked with source

Data Quality Issues to Address:
Missing Data:
- Note in report why missing
- Exclude from affected calculations
- Use estimates with clear labeling

Inconsistent Data:
- Identify inconsistencies
- Document in report limitations
- Normalize if appropriate

Outliers:
- Investigate anomalies
- Include with explanation
- Consider excluding from averages (use median instead)

Seasonal Effects:
- Note seasonal patterns
- Compare to same period last year
- Adjust expectations accordingly

Step 3: Structure Report Content

**Executive Summary (First Page)**:

Purpose: 30-second summary for busy stakeholders

Template:
"PERIOD HIGHLIGHTS [Date Range]

Key Achievements:
✅ [Metric 1]: [Result] ([% change vs prior period])
✅ [Metric 2]: [Result] ([% change vs prior period])
✅ [Metric 3]: [Result] ([% change vs prior period])

Challenges:
⚠️ [Challenge 1]: [Brief description]
⚠️ [Challenge 2]: [Brief description]

Key Insights:
💡 [Insight 1]: [1-2 sentences]
💡 [Insight 2]: [1-2 sentences]

Top Recommendations:
1. [Recommendation 1] - Expected impact: [result]
2. [Recommendation 2] - Expected impact: [result]
3. [Recommendation 3] - Expected impact: [result]

Overall Assessment: [Positive/Mixed/Challenging] period.
[1-2 sentence summary].

Next Steps: [Key priorities for next period]."

Guidelines:
- Maximum 1 page
- Bullet points and bold text for scannability
- Focus on outcomes, not activities
- Include both good and bad news (credibility)
- Clear, concise language (no jargon)
- Quantify everything possible

**Performance Dashboard (Page 2)**:

Visual Overview of Key Metrics:

KPI Grid:
[Table or grid showing all key metrics]

Layout Example:
┌─────────────────────────────────────────────┐
│ METRIC