> ## 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 product concept feedback

> Use PickFu Rapid to collect quick consumer reactions to a new product idea while you are still sourcing, designing, or prototyping.

Get quick feedback on an new product idea while sourcing/designing.

<Frame caption="A real rapid product concept feedback poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/rapid-product-concept-feedback.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=af01df087adf09ad065170dda50ca9b8" alt="Rapid product concept feedback example poll" width="1800" height="885" data-path="images/use-cases/rapid-product-concept-feedback.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/FN0PuMhhdz)

## 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 | Star rating                                                                                                                                          |
| Question  | "If you were in the process of buying \[product type], on a scale of 1-5, how interested would you be in this product? What do you like or dislike?" |
| 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/rapid-product-concept-feedback?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu star rating poll titled "Rapid product concept feedback".
    Question: "If you were in the process of buying [product type], on a scale of 1-5, how interested would you be in this product? What do you like or dislike?"
    Setup: Star Rating poll. Respondents will look at your image, rate it on a scale of 1-5, and tell you why they chose that rating.
    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 star_rating --question "If you were in the process of buying [product type], on a scale of 1-5, how interested would you be in this product? What do you like or dislike?" --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":"If you were in the process of buying [product type], on a scale of 1-5, how interested would you be in this product? What do you like or dislike?"}],"sampleSize":15}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=star_rating&q1-prompt=If+you+were+in+the+process+of+buying+%5Bproduct+type%5D%2C+on+a+scale+of+1-5%2C+how+interested+would+you+be+in+this+product%3F+What+do+you+like+or+dislike%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.