Service Desk Content Operations Studio
A Python and SQLite operating system for turning IT service desk expertise into a repeatable, measurable publishing pipeline.
The problem
Content ideas, drafts, artwork, publishing status, and engagement data were scattered across folders and spreadsheets. That made a leadership content program hard to operate consistently: status went stale, dates could be malformed, and lessons from published work did not reliably feed the next cycle.
The solution
I built a GitHub-backed Content Studio with a Streamlit dashboard and SQLite source of truth. It manages editable content records, platform status, publish dates, notes, completion state, follower snapshots, engagement checkpoints, backups, and synchronized CSV exports. I paired the app with documented writing and design standards plus Python utilities for generating post workspaces, collecting metrics, and analyzing results.
Impact
- Converted an 11-post season plan into one visible operating pipeline
- Kept editable SQLite state and versionable CSV snapshots synchronized
- Published a complete 10-slide pilot across two social platforms using the standardized workflow
- Added tested validation and backup paths instead of relying on a brittle spreadsheet
How it works
Lessons learned
- Creative work still needs operational discipline: clear states, owners, checkpoints, and a definition of done prevent good ideas from stalling.
- SQLite works well for live local state, while synchronized CSV snapshots keep the data portable, inspectable, and recoverable.
- Validation belongs at the point of entry; one malformed date can quietly make an otherwise polished dashboard misleading.
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