Best practices for quality workflow

Use continuous feedback to collaborate with your team

Questions from labelers

In case of doubt or lack of understanding, labelers should ask questions through the issues and questions panel. Reviewers and managers then answer those questions, providing more information to the labeler.

Issues raised by reviewers and managers

Reviewers and managers can create issues on annotated assets and then send the assets back to the same (or different) labeler for correction.

Random and targeted review

Perform focused reviews in the Explore view

Use the Explore view and available filters to focus your review on the most relevant assets, classes and labelers. For instance: show only labels generated today to run a regular, daily check, focus only on new labelers to check their work more closely focus on complex categories with high error probability.

Automated review

Activate Review queue automation to make the Kili app randomly pick assets for review. Review queue automation eliminates human bias when assigning assets to be reviewed.

Adding quality metrics

Consensus

Consensus is the perfect choice if you want to evaluate simple classification tasks.
In the project quality settings, you can set the percentage of assets covered by consensus and the number of labelers per consensus.
Consensus results can be checked in the Explore view and in the Analytics page of your project.

[links: Consensus and Analytics page]

Honeypot

Use Honeypot to measure the performance of a new team working on your project. Simply set some of your annotated assets as Honeypot (ground truth).
Honeypot results can be checked in the Explore view and in the Analytics page of your project.

Automated QA

Simplify and boost your QA process by using a QA bot. You'll avoid a lot of back and forth between your labelers and reviewers.

For more information on the Kili QA process, refer to Quality management.