[Research Title]

Research Summary: [1-2 sentences describing what was researched and key findings]

Executive Summary

• Research Type: [Meta Analysis/Theorycrafting/etc.]
• Research Period: [Start date] to [End date]
• Confidence Level: [High/Medium/Low]
• League Context: [League version]

Key Findings

1. [Finding 1]: [Brief description and impact]
2. [Finding 2]: [Description]
3. [Finding 3]: [Description]

Strategic Implications

Opportunities:

• [Opportunity 1]
• [Opportunity 2]

Risks:

• [Risk 1]
• [Risk 2]

Recommendations:

• [Actionable recommendation 1]
• [Actionable recommendation 2]

Research Objectives

Primary Questions

Question 1: [Research Question]

• Hypothesis: [What we expect to find]
• Methodology: [How we'll answer it]
• Success Criteria: [How we know we've answered it]

Question 2: [Research Question]

• Hypothesis: [Expected outcome]
• Approach: [Research method]
• Validation: [How to verify]

Secondary Questions

• [Additional question 1]
• [Additional question 2]

Out of Scope

• [What this research does NOT cover]
• [Limitations acknowledged upfront]

Methodology

Research Methods

Method	Description	Sample Size	Timeframe
[Method 1]	[How conducted]	[n=X]	[Duration]
[Method 2]	[Approach]	[n=X]	[Period]

Data Sources

Primary Sources:

1. Source 1: [Description, reliability, date accessed]

   • Quality: [High/Medium/Low]
   • Bias Risk: [Assessment]

2. Source 2: [Details]

   • Completeness: [Rating]
   • Accuracy: [Assessment]

Secondary Sources:

Analysis Framework

Quantitative Analysis:

• [Statistical methods used]
• [Tools: PoB, poe.ninja, spreadsheets]
• [Validation techniques]

Qualitative Analysis:

• [Thematic analysis approach]
• [Pattern recognition methods]
• [Expert interviews/community feedback]

Data & Findings

Quantitative Data

Metric	Value	Source	Confidence
[Metric 1]	[Value ± margin]	[Source]	[High/Med/Low]
[Metric 2]	[Value]	[Source]	[Confidence]
[Metric 3]	[Value]	[Source]	[Level]

Statistical Analysis

Descriptive Statistics:

• Mean: [Value]
• Median: [Value]
• Standard Deviation: [Value]
• Range: [Min - Max]

Correlation Analysis:

• [Variable 1] vs [Variable 2]: [Correlation coefficient]
• [Relationship description]

Significance Testing:

• p-value: [Value]
• Significance: [Yes/No - interpretation]

Qualitative Findings

Theme	Frequency	Supporting Evidence	Implications
[Theme 1]	[High/Med/Low]	[Quotes, examples]	[What it means]
[Theme 2]	[Frequency]	[Evidence]	[Significance]

Analysis

Meta Analysis (if applicable)

Build Distribution

Top Archetypes:

Rank	Archetype	Popularity	Average DPS	Survivability
1	[Build 1]	[X%]	[Y Shaper DPS]	[Rating]
2	[Build 2]	[X%]	[Y DPS]	[Rating]
3	[Build 3]	[X%]	[Y DPS]	[Rating]

Trend Analysis:

• Week 1: [Distribution]
• Week 2: [Changes]
• Month 1: [Evolution]

Skill Usage

Most Popular Skills:

1. [Skill 1]: [X% of builds]

   • Primary use: [Clearing/Bossing/Both]
   • Synergies: [Common combinations]

2. [Skill 2]: [X% usage]

   • Context: [Where it's used]

Item Meta

Chase Uniques:

Item	Price Trend	Usage %	Impact
[Item 1]	[Day 1 → Month 1]	[X%]	[Build-enabling/Strong]
[Item 2]	[Price evolution]	[Usage]	[Impact level]

Economic Analysis (if applicable)

Currency Values:

Currency	Day 1	Week 1	Week 4	Trend
[Currency 1]	[Value]	[Value]	[Value]	[↑/↓/→]
[Currency 2]	[Value]	[Value]	[Value]	[Trend]

Profit Strategies:

• [Strategy 1]: [Chaos/hour - timing matters]
• [Strategy 2]: [Returns - investment required]

Market Inefficiencies:

• [Opportunity 1]: [How to exploit]
• [Opportunity 2]: [Conditions and timing]

Theorycrafting Analysis (if applicable)

Damage Calculations:

[Skill] Damage Breakdown:
Base Damage: [Value]
× Added Damage: [Value]
× Increased Modifiers: [Sum]
× More Multipliers: [Product]
= Total Hit Damage: [Result]

DPS = Hit Damage × Attack/Cast Rate × [Other factors]
= [Final DPS value]

Scaling Analysis:

Investment Level	DPS	Survivability	Cost	Efficiency
Budget	[X]	[Rating]	[Y divine]	[DPS/divine]
Medium	[X]	[Rating]	[Y divine]	[Efficiency]
High	[X]	[Rating]	[Y divine]	[Returns]

Breakpoint Analysis:

• [Stat] at [Value]: [Significance]
• [Threshold]: [What changes]

Insights & Implications

Major Insights

Insight 1: [Title]

• Finding: [What we discovered]
• Significance: [Why it matters]
• Implication: [What this means for players]
• Actionable: [What to do with this information]

Insight 2: [Title]

• Data: [Supporting evidence]
• Analysis: [Interpretation]
• Impact: [Who this affects and how]
• Recommendation: [Suggested action]

Insight 3: [Title]

• Discovery: [What's new]
• Context: [Background]
• Application: [How to use this knowledge]

Strategic Recommendations

For League Starters:

• [Recommendation 2]: [Why this approach]

For Currency Makers:

• [Strategy 1]: [Expected returns]
• [Strategy 2]: [Risk/reward analysis]

For Build Planners:

• [Insight 1]: [How to apply]
• [Insight 2]: [Implementation advice]

Limitations & Caveats

Data Quality Issues

Limitation 1: [Issue]

• Problem: [What's limited]
• Impact: [How it affects conclusions]
• Mitigation: [How we've addressed it]

Limitation 2: [Issue]

• Gap: [Missing data]
• Consequences: [What we can't conclude]

Confidence & Uncertainty

High Confidence Findings:

• [Finding 1]: [Strong evidence]

Medium Confidence:

• [Finding 2]: [Some uncertainty]
• [Caveat]: [What could change conclusion]

Low Confidence:

• [Speculation 1]: [Insufficient data]
• [Needs validation]: [Further research required]

Sample Biases

• Selection Bias: [How sample may not represent population]
• Temporal Bias: [Time-specific findings]
• Source Bias: [Data source limitations]

Comparison & Context

vs. Previous League

Metric	This League	Last League	Change
[Metric 1]	[Value]	[Value]	[+/- X%]
[Metric 2]	[Value]	[Value]	[Change]

Major Shifts:

• [Change 2]: [Why it happened]

Historical Context

Long-term Trends:

• [Trend 1]: [How it's evolved over time]
• [Trend 2]: [Multi-league pattern]

Anomalies:

• [Unusual finding]: [Possible explanations]

Validation & Verification

Testing Methodology

Verification Steps:

1. [How finding 1 was validated]
2. [Testing approach for hypothesis 2]
3. [Peer review or community feedback]

Reproducibility

Can Others Replicate?

• Data Access: [Is data publicly available?]
• Method Documentation: [Are steps clear?]
• Tools Used: [What's needed to reproduce]

Alternative Explanations

Finding 1:

• Primary Interpretation: [Main conclusion]
• Alternative: [Other possible explanation]
• Why Primary is Preferred: [Reasoning]

Practical Applications

For Build Creators

How to Use This Research:

1. [Application 1]
2. [Application 2]
3. [Application 3]

Build Recommendations:

• Consider: [Archetype based on findings]
• Avoid: [What research suggests avoiding]

For Farmers

Profitable Strategies:

• [Strategy 1]: [Based on economic data]
• [Strategy 2]: [Market opportunity]

Timing Considerations:

• Early League: [What works]
• Mid League: [Shift in approach]
• Late League: [Alternative focus]

For New Players

Beginner-Friendly Takeaways:

• [Simplified insight 1]
• [Actionable tip for beginners]
• [What to focus on]

Future Research

Questions Raised

Follow-Up Research Needed:

1. [Topic 1]: [Why it needs investigation]

   • Methodology: [Proposed approach]
   • Timeline: [When to conduct]

2. [Topic 2]: [Gap identified]

   • Required data: [What's needed]
   • Value: [Why it matters]

Ongoing Monitoring

Metrics to Track:

• [Metric 1]: [How often to check]
• [Metric 2]: [What changes mean]

Update Schedule:

• [Frequency]: [When to refresh this research]

Appendices

Appendix A: Raw Data

[Link to spreadsheet or data files]

Data Tables:

[Column 1]	[Column 2]	[Column 3]	[Column 4]
[Data]	[Data]	[Data]	[Data]

Appendix B: Methodology Details

Detailed Process:

1. [Step-by-step data collection]
2. [Analysis procedures]
3. [Validation steps]

Appendix C: Statistical Details

Full Statistical Analysis:

• [Detailed calculations]
• [Test results]
• [Confidence intervals]

Appendix D: Sources & References

1. Source 1: [Full citation, URL]
2. Source 2: [Citation]
3. [Source 3]: [Citation]

Appendix E: Glossary

• [Term 1]: [Definition]
• [Term 2]: [Definition]

Community Feedback

Peer Review

Reviewer 1 Comments:

• [Feedback or validation]

Community Discussion:

• Reddit thread: [Link]
• Forum discussion: [Link]

Corrections & Updates

Corrections Made:

• [Date]: [What was corrected and why]

Community Contributions:

• [User]: [Additional data or insight provided]

Changelog

Version	Date	Changes	Reason
1.0	YYYY-MM-DD	Initial research	First publication
1.1	YYYY-MM-DD	[Update]	[New data/correction]

Conclusion

Summary of Findings

1. [Finding 1]: [Quick recap]
2. [Finding 2]: [Summary]
3. [Finding 3]: [Key point]

Impact Assessment

This Research Shows:

• [Major conclusion 1]
• [Major conclusion 2]

Practical Implications:

• [What players should do differently]

Final Thoughts

[Author's perspective on the research significance]

Research Conducted By: [Author Name] Contact: [How to reach for questions] Last Updated: [Date] for League [X.XX] Data Sources: [List of primary sources]