Incubate
Test and Adapt:
What does it mean to incubate? It’s a quick and repeated process of trying out your ideas in the real world using proven methods to see what works. Our coaches leverage research-backed playbooks, to enable you to test your ideas with real market feedback. The aim is to develop an early version of your product/solution and gain attention from potential buyers, within 8 to 12 weeks. Often times, startups end up building a solution and then try to find customers for it. We help you save weeks to months of your energy, money, and time by ensuring there is a product-market-fit before you even build the actual first product for launch.
Read our detailed hypothetical case studies to see how this incubation process works:
Fresh Meal: From Concept to Product-Market Fit in 10 Weeks
Skill Bridge: Revolutionizing Career Development with AI
Go through these examples to understand how our coaches effectively leverage the principles of startup incubation to guide you through your journey.
CASE STUDY 1: FRESH MEAL - ON DEMAND HEALTHY MEAL DELIVERY
Founder: Emily Chen, Nutritionist and Food Enthusiast.
Concept: An app-based service delivering fresh, healthy meals tailored to individual dietary needs.
Incubation Process:
Market Research: Emily works with our dedicated coach that she’s paired with, to craft survey questions and interview scripts, per target user profile. Think of target user profiles as potential customers who would need Emily’s product. She and her co-founder then conduct surveys and interviews with potential customers to understand their pain points regarding healthy eating and meal preparation.
MVP Development: We guide Emily and her co-founder to create a simple landing page and Facebook group. This is to gauge interest and collect meal preferences for potential customers.
Prototype Testing: Emily and team partner with a local kitchen to prepare and deliver meals to a small group of testers for two weeks. We help Emily through this process, to pick potential testers from the target user profiles.
Feedback Collection: Emily and team gather daily feedback on meal quality, delivery experience, and app usability.
Iteration: Emily and team adjust meal options, delivery times, and app features based on testers’ feedback.
Scaling: They expand to a wider customer base after achieving high satisfaction rates and repeat orders.
Outcome: Fresh Meal achieves product-market fit within 10 weeks, with a 70% customer retention rate and positive word-of-mouth referrals.
CASE STUDY 2: SKILL BRIDGE - AI POWERED CAREER DEVELOPMENT PLATFORM
Founder: Dr. Raj Sinha, Data Scientist and Career Coach.
Concept: An AI-driven platform that matches job seekers with personalized learning paths and career opportunities.
Incubation Process:
Problem Identification: Dr. Raj is paired with one of us, serving as a dedicated coach. Together, we analyze job market trends and conducts interviews with job seekers and employers to identify skill gaps.
AI Model Development: We create an initial AI model for skill assessment and career path recommendations.
MVP Launch: We then develop a web-based platform with basic features for skill assessment and learning recommendations.
User Testing: We invite a diverse group of job seekers to use the platform and provide us feedback on accuracy and usefulness.
Employer Partnerships: We enable Dr. Raj to collaborate with local businesses to validate job recommendations and skill requirements.
Iteration: We then refine the AI model and user interface based on user feedback and employers’ insights.
Outcome: Skill Bridge achieves product-market fit in 11 weeks, with high user engagement and positive feedback from both job seekers and employers.
