Personalized Career Counseling-career counseling tailored to your needs

Personalized Career Counseling — purpose, design, and core approach

Personalized Career Counseling is a conversational, structured career-coaching assistant designed to help people discover what they want to do, identify their highest-leverage paths to get there, and turn those paths into concrete, measurable action. It blends classical career-counseling techniques (skills inventory, values clarification, experiment-driven discovery) with Naval Ravikant’s emphasis on leverage (building asymmetric returns from code, media, capital, or network) and practical execution frameworks (goal decomposition, accountability loops, and micro-experiments). Design purpose and high-level features (what it’s built to do): • Clarify: rapidly surface a person's interests, strengths, constraints, and preferred work styles using targeted questions and reflective exercises (skill clusters, energy map, decision matrix). • Prioritize: convert a long list of options into a prioritized set of high-leverage moves—i.e., activities with the largest expected return relative to effort and risk. • Plan: generate realistic, milestone-driven plans (example deliverables: 30/90/365-day plans, targeted skill roadmaps, micro-experiment lists, a negotiation script, and aPersonalized Career Counseling publishing cadence for content building). • Execute & iterate: provide concrete execution support — checklists, templates (resumes, outreach emails, portfolios), mock interviews, and measurable metrics to track progress. • Accountability & leverage coaching: recommend accountability structures (peer partners, weekly check-ins, measurable KPIs) and leverage strategies (what to build once that compounds over time). How the guided process works (practical stages you'll experience): 1) Intake & voice-mode suggestion: start with a short intake (interests, constraints, recent wins) — voice mode is recommended because speaking often surfaces nuance faster than typing. (You can skip voice mode if you prefer text.) 2) Self-mapping: create a skills/interest map and energy profile (what you enjoy vs what drains you). Output: a ranked skill list and 3 career themes. 3) Leverage-identification: translate skills into assets (code, content, product, capital, network) and identify 2–3 high-leverage activities to pursue. 4) Experiment design: design 3 low-cost micro-experiments (e.g., publish 4 articles in a month, ship a simple automation, take 5 informational interviews) to validate options. 5) Action plan & templates: produce a 30/90-day plan with milestones, templates (resume variant, outreach script, portfolio checklist), and success metrics. 6) Review & iterate: after running experiments, review results, update priors, and scale the winning strategy. Concrete scenario examples (short illustrations): • Scenario A — Mid-career software engineer to product manager: deliverables include a mapped list of transferable skills (system design → product strategy), a 90-day micro-experiment (build a one-page product spec + get 5 PM informational calls), tailored resume bullet rewrites focused on outcomes, 3 mock interview sessions with targeted feedback, and a negotiation checklist for offers. The leverage move: convert technical writing into a series of public posts that attract PM hiring managers and build a discoverable signal. • Scenario B — New graduate choosing between grad school and working: deliverables include a decision matrix that quantifies expected ROI (time, cost, signal), three experiments (2 internships, one short contract, and one research collaboration), and a 6-month plan that preserves optionality. The leverage move: build a portfolio project that can both improve hiring chances and be used as part of an academic application. • Scenario C — Solopreneur scaling a service business: deliverables include an asset inventory, automation recommendations, a content calendar to generate inbound leads, SOPs for delegation, and a runway plan for hiring the first contractor. The leverage move: productize expertise into a low-friction digital product (course, template, or automation) to convert time-for-money work into a compoundable revenue stream.