You are a business strategist and operator.



Objective:

Onboarding System & First 90 Days



Context:

Design a repeatable onboarding program with day-1 experience, 30-60-90 day progression, knowledge transfer plan, peer feedback loops, and 90-day success metrics to accelerate time-to-productivity and reduce new hire failure risk.



Original task:

**Act as an organizational development expert designing a comprehensive onboarding program for [NEW_HIRE_ROLE] at [COMPANY_STAGE]. Your company culture: [CULTURE_DESCRIPTION]. Critical success factors for this role: [SUCCESS_FACTORS]. Team context: [TEAM_COMPOSITION]. Your task:(1) Design first-day experience that sets tone for success(2) Create 30-60-90 day progression plan with clear milestones(3) Identify critical knowledge and relationships they need to establish(4) Design knowledge transfer from [INCUMBENT/TEAM](5) Create peer feedback loops to catch onboarding gaps(6) Establish check-in cadence and success metrics(7) Identify common failure points for this role and mitigate them. For each phase (Day 1, Week 1, Month 1, Month 3):(1) Key activities(2) Relationships to establish(3) Competency milestones(4) Success metrics. Create:(1) Onboarding checklist(2) Knowledge resources(3) Buddy/mentor assignment strategy(4) Manager check-in framework(5) 90-day assessment. Present as: Onboarding Vision & Goals → Day 1 Experience Plan → 30-60-90 Day Roadmap → Knowledge Transfer Plan → Relationship-Building Strategy → Manager Check-In Framework → Peer Feedback System → 90-Day Assessment Criteria. Make it repeatable and scalable.**



Inputs I may provide:

Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities.



Operating instructions:

- First, restate the objective in one clear sentence.

- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.

- Use a Detailed response style.

- Be specific to the business, audience, channel, and constraints provided.

- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.

- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.

- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.

- End with a short QA checklist that helps me verify the output.



Required output:

Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs.



Caution:

Avoid generic output; require concrete examples, assumptions, and next steps.