I jumped straight into supply-side tactics without stepping back to think about what kind of tutors this service actually needs.
Start by clarifying the product's goals, target market, and tutor requirements, then segment tutors by subject, geography, and expertise. Develop a recruitment strategy that leverages Google's strengths, such as search, YouTube, and partnerships, and includes incentives and a seamless onboarding process. Conclude with metrics to measure recruitment success and iterate.
Pro tip: Emphasize quality and retention over sheer numbers; a smaller pool of highly engaged tutors often yields better learning outcomes and lower churn. Also, consider leveraging Google's existing products (e.g., Google Classroom, Meet) to attract tutors who are already familiar with the ecosystem.
Clarify the product vision, target subjects, tutor qualifications, and desired scale. Determine whether tutors need certifications, experience, or specific skills.
Segment potential tutors by expertise (e.g., STEM, languages), demographics (e.g., college students, retired teachers), and geography. Prioritize segments based on demand and ease of recruitment.
Leverage Google's platforms (Search Ads, YouTube, Google for Education) and partnerships with universities, teaching associations, and online communities. Consider referral programs and targeted outreach.
Create competitive compensation, flexible schedules, and professional development opportunities. Streamline the application, vetting, and training process to reduce friction and ensure quality.
Track metrics like application volume, acceptance rate, time-to-onboard, tutor satisfaction, and retention. Use data to refine recruitment strategies and address bottlenecks.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.