Overview
Add a new dashboard tab that analyzes how users write their prompts — the language, patterns, and style. The current dashboard covers volume, timing, and persona. This would be the "level 2" that answers: what does your prompting actually look like?
Should be available for all sources combined or filtered per chat source.
Potential visualizations (pick 3–4 for v1)
High confidence — likely compelling
- Top phrases / n-grams: Most-used 2–3 word phrases (e.g. "can you", "make sure", "let's try"), ranked by count with frequency bars. This is the kind of thing people screenshot and share.
- Prompt openers: How you start prompts — categorize into buckets (direct instruction, question, context-setting, greeting) and show distribution as a donut or bar chart.
- Directive vs. interrogative ratio: Are you a "do X" person or a "what if we…" person? Simple ratio with a visual scale.
Medium confidence — interesting but may need iteration
- Vocabulary richness: Type-token ratio, average words per prompt, reading level. Simple stats that are fun to compare across sources.
- Prompt length distribution: Histogram of prompt lengths. Are you a one-liner or a paragraph writer?
- Per-source comparison: Side-by-side view showing how your language differs across Claude vs. Cursor vs. Copilot. This could be the most interesting view — people write differently to different tools.
Design considerations
- Keep it to 3–4 visualizations max in v1 — each one should be immediately "oh that's interesting" without needing explanation
- Match the existing coffee-themed dashboard aesthetic
- The per-source breakdown is key for shareability — people will want to see how they talk to different tools
- This is pure text analysis (tokenization, counting) — no embeddings needed, so it should be fast
Depends on
Overview
Add a new dashboard tab that analyzes how users write their prompts — the language, patterns, and style. The current dashboard covers volume, timing, and persona. This would be the "level 2" that answers: what does your prompting actually look like?
Should be available for all sources combined or filtered per chat source.
Potential visualizations (pick 3–4 for v1)
High confidence — likely compelling
Medium confidence — interesting but may need iteration
Design considerations
Depends on