> ## 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.

# Product design iteration

> Run quick PickFu polls between design iterations to collect consumer feedback that guides your product and packaging design decisions.

Get quick feedback to help guide you while iterating on product and packaging designs.

<Frame caption="A real product design iteration poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/product-design-iteration.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=23a95ec945b6dcc5d4713784827dd0b9" alt="Product design iteration example poll" width="1800" height="835" data-path="images/use-cases/product-design-iteration.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/PX1v8u8r5n)

## 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 | Ranked                                                                                                                                             |
| Question  | "Which of these \[product type] designs do you prefer and why?"                                                                                    |
| Options   | 2-3 images                                                                                                                                         |
| 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/product-design-iteration?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu ranked poll titled "Product design iteration".
    Question: "Which of these [product type] designs do you prefer and why? "
    Setup: Ranked poll.  Respondents will see all product images in a random order, rank them in order of preference, and tell you why they made that choice.
    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 ranked --question "Which of these [product type] designs do you prefer 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":"ranked","prompt":"Which of these [product type] designs do you prefer and why? "}],"sampleSize":15}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=ranked&q1-prompt=Which+of+these+%5Bproduct+type%5D+designs+do+you+prefer+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.