> ## Documentation Index
> Fetch the complete documentation index at: https://www.pickfu.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Rapid image feedback

> Use PickFu Rapid to learn what works and what to improve about your image — packaging, ad, or listing photo — with quick written feedback.

Understand what works and what could be improved about your image with this quick test.

<Frame caption="A real rapid image feedback poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/rapid-image-feedback.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=dc756dd6c3a3b0cac474aa641729d9a4" alt="Rapid image feedback example poll" width="1800" height="958" data-path="images/use-cases/rapid-image-feedback.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/NhmqwCU6Dg)

## The test at a glance

| Setting   | Value                                                                                                     |
| --------- | --------------------------------------------------------------------------------------------------------- |
| Poll type | Star rating                                                                                               |
| Question  | "On a scale of 1-5, how much do you like this image? What would make it better?"                          |
| Options   | 1 image                                                                                                   |
| Audience  | 15 respondents                                                                                            |
| Reporting | Gender identity, Age range, Online shopping marketplaces, Homeownership, Pet owner, Hobbies and interests |

## Run it

<Tabs>
  <Tab title="One-click">
    [Use this template →](https://app.pickfu.com/ask/template/quick-image-review?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu star rating poll titled "Rapid image feedback".
    Question: "On a scale of 1-5, how much do you like this image? What would make it better?"
    Setup: Star Rating poll. Respondents will see your image, rate it on a scale of 1-5, and tell you why they chose that rating.
    Audience: 15 respondents; report by Gender identity, Age range, Online shopping marketplaces.
    Publish it, then summarize the result when responses arrive.
    Tools: save_survey, publish_survey, get_survey_responses.
    ```
  </Tab>

  <Tab title="CLI">
    ```bash theme={null}
    # Create + publish with the PickFu CLI — see /integrations/cli
    pickfu survey create --type star_rating --question "On a scale of 1-5, how much do you like this image? What would make it better?" --sample-size 15
    ```
  </Tab>

  <Tab title="API">
    ```bash theme={null}
    # POST /v1/surveys — see /api-reference/surveys
    curl -X POST https://api.pickfu.com/v1/surveys \
      -H "Authorization: Bearer $PICKFU_API_KEY" -H "Content-Type: application/json" \
      -d '{"questions":[{"type":"star_rating","prompt":"On a scale of 1-5, how much do you like this image? What would make it better?"}],"sampleSize":15}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=star_rating&q1-prompt=On+a+scale+of+1-5%2C+how+much+do+you+like+this+image%3F+What+would+make+it+better%3F&sample_size=15
    ```
  </Tab>
</Tabs>

## Customize

* **Audience** — swap or add [targeting traits](/docs/guides/url-parameters#targeting-and-settings) (e.g. `amznpr` for Amazon Prime shoppers).
* **Sample size** — `15` for a fast read, `15` (default), `100`+ for higher confidence.
* **Country** — add `country=US` (or CA, GB, DE, …) to target a locale.