Objective:
The goal of this project was to edit a series of 18 tweets (T1–T18) to evaluate editorial judgment, financial literacy, and tone alignment for FinFloww’s content style. The task involved transforming raw drafts into polished, publication-ready tweets while preserving factual accuracy, clarity, and logical flow.

Time Required:
The project was completed in approximately 3 hours, including multiple review rounds for consistency, tone refinement, and cross-verification of data sources and industry terms.

Tools Used:
Primary tools included Google Docs for drafting and revision, Grammarly for grammar and tone checks, and manual fact-checking using credible financial sources such as OEC, Economic Times, and Grand View Research. These ensured each tweet maintained a data-driven, professional voice suited for finance and policy audiences on Twitter.

Process:
Each tweet was analyzed for clarity, factual accuracy, and narrative continuity. Redundant phrasing and subjective language were removed. Key metrics and policy references were highlighted for improved readability and to attract the scrollers to stay until the end. The final edits emphasized a crisp, analytical tone that aligns with fintech and economic communication standards.