Solution and Objectives
Our guiding vision focused on nurturing trust, visibility, and connections between service seekers and providers through transparency. We defined targeted success metrics across stakeholders:
Consumers
Enable informed decisions through 200 million words of reviews annually
Provide consumer advocacy saving over $845 per Davison on average
Service Professionals
Drive $16 billion in referral revenue by matching buyers with best-fit sellers
Save SMBs an average of 105 days of marketing costs acquiring each new customer
Investors
Produce gross margin over 42% through verified lead generation marketplaces
Realize 2.6x multiple on engaged community-driven assets
Partners
Cultivate data-driven insights improving decision-making for 80 million purchasing advisors
Tap authenticated NPS feedback sparking 80% of product enhancements
Employees
Become the most ethical place to share reviews and refer businesses with 91% of employees willing to recommend to friends and family
Policy Makers
Shape perspective of 450 advocacy groups through constructive analysis
Lead standards preventing bias in algorithms recommending opportunities
Society
Fund $750,000 in continuing education grants through enabled economic mobility
Foster inclusive information access across demographic groups
Technology Planning
Architecture
Developed network diagrams encompassing security zones, hardware layouts, communication flows
Documented stack from operating systems to infrastructure services, middleware, apps/data layers
Completed risk assessment addressing OWASP Top 10, malware, insider threats
Evaluated and selected cloud hosting providers balancing compliance, jurisdiction, and cost
Development
Initialized modular microservices-oriented code repositories centered around Laravel and React
Outlined domain models spanning members, groups, search, reviews, and messaging entities with supporting data stores
Designed REST APIs aligned to core workflows of member search and community feeds
Built automated unit test coverage templates integrated into the CI/CD pipeline
Content & Data
Created moderation taxonomy and rules schema to categorize objections
Seeding script for 100K QA labeled reviews to train deep learning classifiers
Open-sourced Scraper assimilating 30M online ratings for search relevance tuning
Statistical analysis measuring inter-annotator biases establishing consensus baseline
With direction setting completed, our distributed teams followed proven Agile rituals to incrementally deliver capabilities leveraging Laravel and React tech stacks.