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Clara uses AI to review JIRA tickets for grooming. Get instant clarity, scores, and effort sizing. 🧠 What is Clara? Clara is an intelligent tool that helps product managers, engineers, and agile teams evaluate JIRA tickets for grooming readiness. Instead of manually reviewing every issue for completeness, Clara applies AI-driven analysis to highlight missing context, flag vague requirements, and estimate the effort required to complete a task. Whether you're preparing for sprint planning, grooming a cluttered backlog, or reviewing new tickets, Clara gives you fast, clear, and actionable feedback right from your browser. ⚙️ What Clara Does ✔️ Analyzes ticket clarity and completeness ✔️ Identifies missing fields or vague descriptions ✔️ Assigns a grooming readiness score (1–10) ✔️ Estimates T-shirt size (S, M, L, XL) for effort ✔️ Detects blockers or missing dependencies ✔️ Highlights where additional detail is needed ✔️ Runs directly in your browser—no external data storage 💡 Why You Should Use Clara Too many teams waste valuable sprint time dealing with incomplete or unclear tickets. Clara brings structure and consistency to the grooming process by automatically surfacing: - Which tickets are ready for sprint planning - What information is missing (acceptance criteria, context, etc.) - How much effort a ticket might require - Whether additional refinement is needed before discussion By installing Clara, you’ll save hours each week spent chasing clarification, reduce friction during sprint reviews, and empower your team to move faster and with greater confidence.
May 18, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.