PuanAIBeta
Sample Feedback

What sample IELTS feedback looks like in PuanAI

Learners do not just get one raw number. The product is designed to show score summaries, criteria blocks, and learning signals that make the next practice step clearer.

Overall score plus criterion-by-criterion breakdowns
Single-result screens and aggregated Progress views
Different report density by skill and assessment type

Typical feedback layers

The exact text and numbers vary, but these are the kinds of blocks the product is built around.

Top-level score summary

Each submission starts with a quick score summary so learners can understand current level, recent performance, and likely band range at a glance.

Criteria-level analysis

Writing and Speaking emphasize rubric-aligned criteria, while Reading and Listening surface accuracy, section breakdowns, and error patterns.

Progress-oriented signals

Repeated submissions can turn into trend charts, distributions, and strongest or weakest code groupings that show where practice is moving.

Sample feedback FAQ

Does every skill show the same feedback blocks?

No. Feedback depth depends on skill and assessment type. Some views emphasize criteria, others emphasize scoped breakdowns such as sections or speaking parts.

Can one submission already show useful feedback?

Yes. Even one submission can show an overall score and criteria-level signals, although Progress becomes richer after repeated attempts.

Is feedback only about scores?

No. The goal is to connect scores with usable learning signals so learners know what to practice next, not just what number they got.

Where can I try this feedback flow?

You can start from the public Writing, Speaking, Reading, and Listening hubs linked throughout the site, then submit practice to see the result screens.

Sample Feedback

Open a public hub and see the flow yourself

The fastest way to understand the feedback structure is to open a public hub, submit a practice attempt, and review the resulting analysis.

Open IELTS AI hub