Prioritize Linear Issues with Your Team

Why Linear teams need more than a Priority field

Linear is excellent at tracking issues, planning cycles, and showing what is already considered important. Its native Priority field is fast and useful for day-to-day triage.

But when a team has to decide what should come next, a single dropdown is not enough. The decision often depends on customer value, strategic alignment, delivery effort, readiness, and how confident the team is in its assumptions.

CoJii adds a collaborative prioritization layer to Linear. Your team scores the issues together, compares the reasoning behind each score, and syncs the agreed result back to the Linear workflow you already use.

What makes CoJii a prioritization tool for Linear?

• Import your real backlog — pull issues directly from your Linear workspace instead of copying them into a spreadsheet.
• Score the factors that matter — use Impact, Customer Signal, Strategic Alignment, Readiness, and Effort, with configurable weights. Contributors set their own confidence separately.
• Include the whole decision-making team — invite engineers, designers, sales, customer success, leadership, or customers through shareable scoring links.
• See disagreement instead of hiding it — compare perspectives and find the issues that need a conversation before they become roadmap commitments.
• Rank issues automatically — turn weighted scores into a clear starting point for backlog review and roadmap planning.
• Sync decisions back to Linear — publish the final priority order to Linear with one click, while Linear stays your system of record.

Use RICE, Impact, and Effort scoring with Linear

CoJii supports practical product-prioritization models without forcing your team into a spreadsheet. Use RICE-style thinking to compare reach, impact, confidence, and effort, or use CoJii's focused Impact and Effort dimensions alongside Customer Signal, Strategic Alignment, and Readiness.

Each dimension is scored separately, so the team can see why an issue ranks highly instead of relying on a single unexplained priority. Configurable weights let you emphasize the factors that matter most to your current product strategy.

Answer questions instead of guessing what 1 or 10 means

Question-led scoring is the main experience, not a separate scoring mode. Open a dimension, answer a short question about that issue, and review the suggested score and explanation. Choose an answer or write your own; if evidence is missing, AI may ask one follow-up. Confirm the score, enter your own, or skip what you cannot judge. Unknown does not mean low value.

People in the same organization evaluating the same issue version, dimension, and scoring setup receive the same starting question and choices. Their answers, follow-ups, and score suggestions stay individual. Reusing the starting question reduces repeated AI generation without treating everyone's judgment as identical.

Use this in manager scoring, individual ad-hoc links, campaigns, and live sessions. Managers apply reviewed draft scores; contributors confirm their scores and choose their own confidence. AI never adds an extra vote or publishes priorities. Direct scoring remains available without AI consent. With consent, issue details, scoring guidance, and the answers you submit are sent to OpenAI for suggestions.

See the question-led scoring walkthrough, including sharing and privacy.

Collect scores asynchronously or prioritize together live

For asynchronous input, create a scoring campaign and share one link covering the Linear issues under review. Contributors can score the requested dimensions without needing a Linear account. Campaigns are useful for roadmap planning, customer-request reviews, and gathering input across time zones.

When the team is meeting together, start a live prioritization session. Participants join from their own device, score each issue, and compare the group's results as they are revealed. This keeps the discussion focused on meaningful differences in judgment rather than whoever speaks first.

How to prioritize issues in Linear with CoJii

1. Connect Linear. Choose the team and issues you want to review.
2. Choose your scoring model. Start with a balanced approach or adjust the dimensions and weights to match your product process.
3. Invite contributors. Run a live session or collect scores asynchronously through a campaign link.
4. Answer, review, and confirm. Use contextual questions to explain what you know, check the suggested score, and confirm your judgment. Set a score directly or skip when needed.
5. Review the ranked backlog. Look at the score, dimension coverage, dependencies, and places where the team disagrees.
6. Publish the decision. CoJii converts the weighted result into a recommended Linear priority, then lets you send the agreed priority and effort back to Linear and continue delivery there.

CoJii compared with Linear's native prioritization

Who uses CoJii?

CoJii is designed for product managers, engineering leads, and cross-functional teams that use Linear and need a repeatable way to make roadmap and backlog decisions. It is especially useful when several stakeholders have valuable but different perspectives on the same issue.

It works for quick backlog triage, quarterly planning, roadmap reviews, customer-request prioritization, technical-debt discussions, and any situation where “High” or “Low” needs a clear reason behind it.

Start prioritizing your Linear backlog collaboratively

The best prioritization process is one your team can explain, repeat, and trust. CoJii gives your team the structure to make that decision together, then returns the result to the Linear workspace where the work is managed.