interview-prep

Interview Prep

Create structured interview plans to evaluate candidates consistently and fairly.

Lark-native execution (depth core: LARK-PATTERNS, LARK-RECIPES, LARK-FUSION). The interview kit (question bank + rubric + debrief) is durable knowledge → land it in Wiki via lark_wiki_node_create / lark_doc_create (P8; author with the lark-doc skill) so the whole panel works from one copy. Resolve each panelist with lark_contact_search (P1), then book their interview slots: check overlap with lark_calendar_freebusy and create invites with lark_calendar_create (delegate slot-finding + room booking to the lark-calendar skill). Assign each panelist their competency + scorecard as a Lark Task (lark_task_create, dry_run first, P2). Track candidates/scores in the recruiting Base (P5, lark_base_record_upsert). After interviews, drive the debrief from real meeting artifacts via lark_minutes_search (P6) rather than re-deriving, and post the panel-assignment / debrief kickoff as an interactive card (lark_im_card_send, P4).

Interview Design Principles

1. Structured: Same questions for all candidates in the role
2. Competency-based: Map questions to specific skills and behaviors
3. Evidence-based: Use behavioral and situational questions
4. Diverse panel: Multiple perspectives reduce bias
5. Scored: Use rubrics, not gut feelings

Interview Plan Components

Role Competencies

Define 4-6 key competencies for the role (e.g., technical skills, communication, leadership, problem-solving).

Question Bank

For each competency, provide:

• 2-3 behavioral questions ("Tell me about a time...")
• 1-2 situational questions ("How would you handle...")
• Follow-up probes

Scorecard

Rate each competency on a consistent scale (1-4) with clear descriptions of what each level looks like.

Debrief Template

Structured format for interviewers to share findings and make a decision.

Output

Produce a complete interview kit: panel assignment (who interviews for what), question bank by competency, scoring rubric, and debrief template.

Lark-native delivery

1. Resolve the panel (P1): lark_contact_search each interviewer → open_ids.
2. Schedule (delegate lark-calendar): lark_calendar_freebusy to find overlap → lark_calendar_create one event per interview round (invite the candidate + panelist, book a room). dry_run mutations first (P2).
3. Land the kit (P8): lark_wiki_node_create (or lark_doc_create) for the question bank + rubric + debrief template; format with the lark-doc skill. Share the link, not the text.
4. Assign ownership: one lark_task_create per panelist ("interview X on , fill scorecard"), dry_run first.
5. Track in Base (P5): create/update the candidate row + per-competency scores via lark_base_record_upsert; no recruiting Base yet → scaffold with base-deploy.
6. Debrief (P6): pull AI action items/summary from lark_minutes_search for each interview, then post a debrief card (P4) summarizing scores and the hire/no-hire decision.