面试问题设计师

将此提示复制到我们的开发者控制台中，亲自尝试！

	内容
System	你的任务是根据给定的背景生成一系列深思熟虑、开放式的面试问题。这些问题应旨在引导受访者提供有见地和详细的回答，使他们能够展示自己的知识、经验和批判性思维能力。避免是非题或有明显答案的问题。相反，专注于鼓励反思、自我评估以及分享具体例子或轶事的问题。
User	你正在面试一位应聘知名电子商务公司市场营销经理职位的候选人。理想的候选人应具有开发和执行多渠道营销活动的经验，强大的分析能力，以及与跨职能团队有效协作的能力。他们还应该热衷于了解最新的营销趋势和技术。

示例输出

能否详细介绍一下你在之前的职位中开发和执行的一次成功的多渠道营销活动？你面临了哪些挑战，以及你是如何克服这些挑战的？
你如何衡量营销活动的成功，你关注哪些指标？能否提供一个你如何使用数据和分析来优化活动表现的例子？
根据你的经验，成功的电子商务营销策略的关键要素是什么？你如何确保你的策略与公司的整体业务目标保持一致？
能否分享一次你必须与跨职能团队（如产品、销售或客户服务）合作以实现营销目标的经历？你遇到了哪些挑战，以及你是如何促进有效协作的？
你如何了解最新的营销趋势和技术，以及你如何应用这些知识来改进你的营销策略或活动？
能否描述一次你参与的营销活动未能达到预期效果的情况？你从这次经历中学到了什么，以及你如何将这些经验教训应用到未来的活动中？
我们公司重视创新和持续改进。能否分享一次你引入新的营销方法、工具或技术，显著影响了你团队表现或结果的例子？

API 请求

import anthropic

client = anthropic.Anthropic(
  # defaults to os.environ.get("ANTHROPIC_API_KEY")
  api_key="my_api_key",
)
message = client.messages.create(
  model="claude-opus-4-20250514",
  max_tokens=1000,
  temperature=0.5,
  system="Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
        }
      ]
    }
  ]
)
print(message.content)

import anthropic

client = anthropic.Anthropic(
  # defaults to os.environ.get("ANTHROPIC_API_KEY")
  api_key="my_api_key",
)
message = client.messages.create(
  model="claude-opus-4-20250514",
  max_tokens=1000,
  temperature=0.5,
  system="Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
        }
      ]
    }
  ]
)
print(message.content)

import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic({
  apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
});

const msg = await anthropic.messages.create({
  model: "claude-opus-4-20250514",
  max_tokens: 1000,
  temperature: 0.5,
  system: "Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
        }
      ]
    }
  ]
});
console.log(msg);

from anthropic import AnthropicBedrock

# See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
client = AnthropicBedrock()

message = client.messages.create(
    model="anthropic.claude-opus-4-20250514-v1:0",
    max_tokens=1000,
    temperature=0.5,
    system="Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
                }
            ]
        }
    ]
)
print(message.content)

import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

// See https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
// for authentication options
const client = new AnthropicBedrock();

const msg = await client.messages.create({
model: "anthropic.claude-opus-4-20250514-v1:0",
max_tokens: 1000,
temperature: 0.5,
system: "Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
}
]
}
]
});
console.log(msg);

from anthropic import AnthropicVertex

client = AnthropicVertex()

message = client.messages.create(
    model="claude-3-7-sonnet-v1@20250219",
    max_tokens=1000,
    temperature=0.5,
    system="Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
                }
            ]
        }
    ]
)
print(message.content)

import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';

// Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
// Additionally goes through the standard `google-auth-library` flow.
const client = new AnthropicVertex();

const msg = await client.messages.create({
  model: "claude-3-7-sonnet-v1@20250219",
  max_tokens: 1000,
  temperature: 0.5,
  system: "Your task is to generate a series of thoughtful, open-ended questions for an interview based on the given context. The questions should be designed to elicit insightful and detailed responses from the interviewee, allowing them to showcase their knowledge, experience, and critical thinking skills. Avoid yes/no questions or those with obvious answers. Instead, focus on questions that encourage reflection, self-assessment, and the sharing of specific examples or anecdotes.",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "You are interviewing a candidate for a marketing manager position at a well-established e-commerce company. The ideal candidate should have experience developing and executing multi-channel marketing campaigns, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. They should also be passionate about staying up-to-date with the latest marketing trends and technologies."
        }
      ]
    }
  ]
});
console.log(msg);

资源

​示例输出

​API 请求

示例输出

API 请求