AI Bug Priority Suggestion

Combines severity with business context you provide (release date, customer, frequency) to recommend a priority and the reasoning.

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What makes a good bug report?

A good bug report lets someone else reproduce the problem without asking: a specific title, numbered steps, the expected and the actual result, the environment (build, browser, device, account), data used, and evidence such as a screenshot or log. Severity describes the impact on the system (a crash, data loss); priority describes how soon the business wants it fixed — the two are set separately and often differ.

Read the guide: How to Write a Bug Report

Severity is one input, not the answer: business factors push the priority up or down, so a Critical bug can get P2 and a Minor one P0. Conceptual model

A Critical bug that can wait

A critical defect in a rarely used feature with a workaround

Known severity:
Critical
Pushes the priority down:
affected users: a rarely used feature · workaround: exists
Pushes the priority up:
none stated
Suggested priority:
P2: may reasonably wait

A Minor bug that cannot

A minor defect blocking a contractual demo

Known severity:
Minor
Pushes the priority down:
none stated
Pushes the priority up:
customer commitment: a contractual demo is blocked
Suggested priority:
P0

The page’s exampleExample

A NaN total blocks payment in promotion week; release in 10 days

Known severity:
not stated
Pushes the priority down:
none stated
Pushes the priority up:
revenue impact: direct, during the campaign
Suggested priority:
P0: fix immediately (hotfix)

The FAQ’s two cases and the page’s example. Severity has its own row; the push rows name the other factors each case states, using the tool’s factor names (the tool marks every factor, severity included, as up, down or neither).

How to use AI Bug Priority Suggestion

  1. Paste the bug report.
  2. Describe the business context — release dates, affected customers, how often it happens, revenue or contractual impact — and set the known severity, or leave it as Not assessed.
  3. Pick the output language and press Suggest priority.
  4. Read which factors push the priority up or down, check the recommended fix window, and answer the questions to confirm.

AI Bug Priority Suggestion features

  • P0–P3 recommendation that combines severity with business context
  • Shows which factors push the priority up or down
  • Recommended fix window (hotfix, current sprint, next release…)
  • Confidence and questions to confirm

AI Bug Priority Suggestion example

Priority

Input:

NaN total blocks payment; promotion week; release in 10 days

Output:

P0 — Fix immediately (hotfix): direct revenue impact during the campaign

Frequently asked questions about AI Bug Priority Suggestion

Why can a Critical bug get P2?

Because priority weighs business context: a critical defect in a rarely used feature with a workaround may reasonably wait, while a minor defect blocking a contractual demo becomes P0.

What if I do not know the severity yet?

Leave it as Not assessed. The tool then weighs the report itself and states its assumptions, which lowers the confidence; the AI Bug Severity Suggestion tool can rate the severity first.

What is the recommended fix window?

When to fix, in your own terms — for example a hotfix today, a named sprint or the next minor release — based on the dates and commitments you described.

Technical notes

The result is a priority from P0 (fix immediately, as a hotfix) to P3 (fix when convenient), a 0–100 confidence, the reasoning, the business factors considered — severity, affected users, frequency, revenue impact, deadline or release, customer commitment, regulatory or compliance constraints, workaround, reputation, effort to fix — each marked as pushing the priority up, down or neither, a recommended fix window and questions to confirm.

References