Research Paper Outline Generator

Input

Research Topic

The effect of remote work arrangements on employee productivity and burnout in mid-sized tech companies.

Paper Type

empirical

Academic Level

masters

Methodology

An online survey of 300 employees across 10 companies, measuring self-reported productivity and burnout via validated scales, analyzed with multiple regression.

Output (excerpt)

I. Introduction - problem statement, significance, research questions
II. Literature Review - remote work models, productivity metrics, burnout frameworks; gap
III. Methodology - survey design, sample (n=300), validated scales, regression model
IV. Results - descriptive stats, regression findings, productivity vs burnout
V. Discussion - interpretation, theoretical and practical implications
VI. Limitations & Future Research
VII. Conclusion
References / Appendix (survey instrument)

Input

Research Topic

Advances in transformer architectures for low-resource machine translation over the past five years.

Paper Type

review

Academic Level

phd

Methodology

Systematic review of peer-reviewed papers and benchmarks, with thematic synthesis grouped by architectural innovation.

Output (excerpt)

1. Introduction - scope, importance of low-resource MT, review questions
2. Background - transformer fundamentals, low-resource challenges
3. Methodology - search strategy, inclusion criteria, corpora/benchmarks
4. Thematic Synthesis - (a) data augmentation, (b) transfer/multilingual pretraining, (c) parameter-efficient adaptation
5. Comparative Analysis - benchmark trends (BLEU/chrF)
6. Open Challenges & Research Directions
7. Conclusion

Input

Research Topic

How a regional credit union reduced loan-approval time by 40% after adopting an automated underwriting system.

Paper Type

case-study

Academic Level

professional

Methodology

Single-organization case study using internal performance data, staff interviews, and process mapping before and after adoption.

Output (excerpt)

1. Executive Summary
2. Background & Context - the credit union, the legacy approval process
3. The Challenge - bottlenecks, manual review delays
4. Methodology - data sources, interviews, before/after process maps
5. The Intervention - automated underwriting rollout
6. Results - 40% faster approvals, error and satisfaction metrics
7. Lessons Learned & Recommendations
8. Conclusion