Interview Question Generator & Evaluator#

Two-phase workflow for WePlay activity operations (活动运营) interviews using Feishu docs.

Phase 1: Resume → Interview Question Document#

Step 1: Read the Resume#

If the resume is a PDF attachment, render each page as an image ( /tmp/resume_p{n}.png) using PyMuPDF and read them visually:

python

import fitz
doc = fitz.open("/path/to/resume.pdf")
for i, page in enumerate(doc):
    page.get_pixmap(matrix=fitz.Matrix(1.5, 1.5)).save(f"/tmp/resume_p{i+1}.png")

Extract key info: work experience, skills, education, highlights.

Step 2: Read WePlay Product Context#

Before generating questions, fetch the WePlay product framework doc to understand product positioning:

• WePlay产品框架： https://wepie.feishu.cn/wiki/Q62TwQ3Fsi5Q8kkc0iDcINsSnno

Step 3: Generate Interview Questions#

Structure the document into these sections. See references/question-template.md for the full question template and scoring rubrics.

Document sections:

1. 破冰与自我介绍 (2 questions)
2. 结合简历的深挖问题 (4–6 questions, grouped by employer)
3. 活动运营能力考察 (4 questions: scenario planning, data, cross-team collaboration)
4. 日语与本地化能力 (3 questions, tailored to Japanese market)
5. WePlay 产品体验问题 (5 questions — require candidate to pre-download WePlay)
6. 价值观与潜力考察 (4 questions including open Q&A)
7. 日本語口頭試問 (6 questions, all in Japanese — no Chinese)

Tailor questions to the specific candidate's background. Reference their actual projects, metrics, and employers by name.

Step 4: Create Feishu Document#

Use feishu_bot_doc.mjs to create the document:

bash

cat /tmp/interview_questions.md | node scripts/feishu_bot_doc.mjs create \
  --title "【AI生成】{候选人姓名} {岗位} 面试题集" \
  --stdin \
  --folder AZ3nfFtial4bHTdOFahcdcfxnub \
  --collaborator ou_8b357150cff930fca19a733461a32526

Reply with the document URL. Tell the user to send the interview transcript when ready.

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Phase 2: Interview Transcript → Evaluation#

Step 1: Read the Transcript#

Accept the transcript as:

• A Feishu doc link → use feishu_doc read action
• A pasted text block → read directly

Step 2: Write Evaluation#

Append the evaluation to the existing interview question document (not a new doc). Use feishu_doc append action on the same doc_token.

See references/evaluation-template.md for the full evaluation structure and scoring rubrics.

Evaluation structure:

1. 总体印象 (1–2 sentences, overall rating: 优秀/良好/中等/中等偏下/不建议录用)
2. 各维度评价 with ⭐ ratings (1–5 stars each):
   • 过往经验匹配度
   • 活动策划思维
   • 数据分析能力
   • 产品认知与洞察
   • 日本市场理解
   • 表达与沟通
3. 亮点 (bullet list)
4. 主要风险 (bullet list)
5. 结论 (录用 / 待定 / 不建议录用, with reasoning)

Be specific: quote actual interview moments, not generic observations.

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Notes#

• Japanese oral exam questions (Section 7) must be written entirely in Japanese — no Chinese text.
• Always add 【AI生成】 prefix to document titles.
• Default save folder: AZ3nfFtial4bHTdOFahcdcfxnub
• Default collaborator: ou_8b357150cff930fca19a733461a32526 (吴柏庆)
• If the interview transcript doc is auto-generated by Feishu (智能纪要), the bot has no write permission — append to the question doc instead.