> ## 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.

# Packaging evaluation

> Test packaging design options with real shoppers to find the look that stands out on retail shelves and search pages and signals quality at a glance.

Help your product stand out on shelves and search pages by testing your packaging design.

<Frame caption="A real packaging evaluation poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/packaging-evaluation.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=eae0feab6cd122ad39c15be1c5079431" alt="Packaging evaluation example poll" width="1800" height="835" data-path="images/use-cases/packaging-evaluation.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/HBU6mAGdBl)

## When to use

Built for e-commerce sellers. Reach for it when your options are ready and you want a fast, real-audience read before you commit.

## The test at a glance

| Setting   | Value                                                                                                                                              |
| --------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
| Poll type | Click test                                                                                                                                         |
| Question  | "This is a packaging design for \[product type]. Which area would you improve and why?"                                                            |
| Options   | 1 image                                                                                                                                            |
| Audience  | 15 targeted respondents                                                                                                                            |
| Reporting | Gender identity, Age range, Racial or ethnic identity, Education level, Recently purchased categories, Amazon Prime member, Household income range |

## Run it

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

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu click test poll titled "Packaging evaluation".
    Question: "This is a packaging design for [product type]. Which area would you improve and why?"
    Setup: Click Test. Respondents will look at your product image, click on the area they would improve, and leave a comment explaining why..
    Audience: 15 respondents, targeting Custom trait; report by Gender identity, Age range, Racial or ethnic identity.
    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 click_test --question "This is a packaging design for [product type]. Which area would you improve and why?" --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":"click_test","prompt":"This is a packaging design for [product type]. Which area would you improve and why?"}],"sampleSize":15}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=click_test&q1-prompt=This+is+a+packaging+design+for+%5Bproduct+type%5D.+Which+area+would+you+improve+and+why%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.
* **Fill-ins** — replace the `[bracketed]` placeholders in the question with your own values per run.