Content Status Guide
Understanding Post Status Labels
As part of my commitment to Learning in Public, I mark each post with a status label that reflects where it is in my knowledge development process. This transparency allows you to understand the maturity of the content and how it might evolve over time.
The Status System
🔍 Research
🔍 RESEARCH
What it means: I’m actively gathering sources, exploring ideas, and doing initial investigation on this topic.
What to expect: Early-stage thinking, questions I’m wrestling with, and preliminary connections. These posts are the most experimental and may change significantly as my understanding deepens.
Why I share at this stage: Sometimes the best insights come from the research phase itself. By sharing my exploration process, I invite dialogue and discover perspectives I might have missed working alone.
đź“ť Draft
đź“ť DRAFT
What it means: I have a working version of the content, but it’s still evolving. Structure and major arguments are taking shape.
What to expect: Core ideas are present but may lack polish. Citations might be incomplete, examples may be placeholders, and I’m still refining how everything fits together.
Why I share at this stage: Drafts represent substantial thinking even if unfinished. They’re useful reference points for myself and others working on similar problems.
đź“‹ In Review
đź“‹ REVIEW
What it means: Content is complete and I’m doing final review—checking citations, improving clarity, refining arguments.
What to expect: Near-final quality. The structure is solid, arguments are developed, and I’m making last-pass improvements. Minor edits may still occur.
Why I share at this stage: Review-stage posts are ready for careful reading. If you’re researching similar topics, this content is stable enough to reference.
✨ Updated
✨ UPDATED
What it means: This previously published post has been revised with new insights, data, or connections.
What to expect: Mature content that’s been enriched by new learning, reader feedback, or emerging research. I typically note what changed and why.
Why I mark updates: Knowledge isn’t static. When I learn something that changes my understanding of a published post, I update it and mark it so returning readers know there’s new material.
đź“„ Brief
đź“„ BRIEF
What it means: A short-form article based on a single reference, source, or focused idea.
What to expect: Concise analysis or synthesis of one key source. These posts go deep on a narrow topic rather than attempting comprehensive coverage.
Why I write briefs: Not every insight requires a long-form article. Briefs let me quickly share important references, respond to single papers or reports, or highlight specific data points that deserve attention.
đź“š Series
đź“š SERIES
What it means: This post is part of a connected set of articles exploring related topics or building on each other.
What to expect: Content that references or builds upon other posts. Look for links to previous/next posts in the series or a series overview.
Why I write series: Complex topics often require multiple posts to explore thoroughly. Series let me develop ideas progressively while keeping each post focused and digestible.
🛠️ Tutorial
🛠️ TUTORIAL
What it means: Step-by-step instructional content you can follow along with hands-on.
What to expect: Practical, actionable guidance with code examples, commands, or procedures. Designed for learning by doing.
Why I write tutorials: The best way to learn is often by building. Tutorials document my own learning process and provide a roadmap for others tackling similar technical challenges.
đź“Š Analysis
đź“Š ANALYSIS
What it means: Deep research and data exploration with detailed methodology and findings.
What to expect: Data-driven investigation, statistical analysis, visualizations, and evidence-based conclusions. These posts dig into the numbers.
Why I write analysis posts: Data tells stories that narrative alone cannot. Analysis posts combine my data science skills with real-world questions, making research transparent and reproducible.
The Philosophy Behind This System
This status system reflects my belief that knowledge development is iterative and collaborative. By showing where each piece of content sits in my thinking process, I’m inviting you into the laboratory rather than just presenting finished products.
Why This Matters
- Transparency: You can assess how much weight to give any particular post based on its maturity
- Process Over Product: Learning happens in the journey, not just the destination
- Collaboration: Early-stage posts invite dialogue that improves the final work
- Honesty: I don’t pretend to have all the answers—I’m figuring things out alongside you
Posts Without Status Labels
Posts without any status label are considered published and stable. They represent my current best understanding on a topic, though I remain open to revising them if new evidence or insights emerge.
Questions or Feedback?
If you have thoughts on something you’ve read—at any stage—I’d love to hear from you. Reach out via email at jason@jasonkronemeyer.com.
The best part about learning in public is learning together.