Interview teacher candidates with questions and a demo lesson rubric
Builds a structured interview, scoring guide, and demo lesson rubric for hiring teachers fairly.
The prompt
Help me run a fair, structured interview for a teaching position.
Position: [grade, subject, certification required, e.g. "high school chemistry"]
School priorities: [e.g. "co-teaching", "restorative practices", "multilingual learners", "data-driven instruction"]
Interview format: [panel members, time, whether a demo lesson or writing sample is included]
Must-haves vs. nice-to-haves: [DETAILS]
Build:
1. 8-10 interview questions covering instruction, classroom management, assessment and data use, differentiation (including students with IEPs and English learners), family communication, and collaboration. Mix behavioral ("Tell us about a time...") and scenario questions.
2. For each question: what a strong, acceptable, and weak answer sounds like, on a 1-4 scale.
3. A demo lesson prompt and a rubric (clarity of objective, student engagement, checking for understanding, responsiveness to students, reflection afterward).
4. 3 post-demo reflection questions.
5. A scoring sheet for panel members and a calibration step before discussion.
6. Questions candidates commonly ask, with honest answers I should prepare.
Rules:
- Ask every candidate the same core questions.
- No questions about age, family plans, religion, disability, national origin, or other protected traits.
- Confirm certification and background check requirements with HR, marked [CONFIRM].
Return: the question table (Question | What it tests | Strong / Acceptable / Weak answer), the demo lesson prompt and rubric, the panel scoring sheet, and the candidate Q&A prep.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore HR & Hiring prompts
What to fill in
- DETAILS
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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