Technical Architecture - RAVA AI

Challenge: Maintaining brand consistency across generated content
One of the most difficult challenges in creating an AI marketing platform is ensuring that all generated content maintains consistent brand voice, style, and messaging across different platforms and content types.

Our solution involved:
• Brand Personality Modeling:
  - Developed a proprietary framework that translates brand guidelines into quantifiable parameters
  - Created a mathematical model that represents brand voice along 12 dimensions
  - Implemented adaptive templates that flex based on brand personality scores while maintaining platform-specific requirements
  
• Multimodal Consistency:
  - Built a synchronized generation pipeline that ensures text and image outputs reflect the same underlying concepts
  - Developed a novel technique for extracting style parameters from existing brand assets to guide new content creation
  - Implemented a feedback loop system that learns from user content selections to refine brand understanding
  
• Technical Implementation:
  - Custom prompt engineering framework that incorporates brand parameters
  - Fine-tuned models specific to industry verticals
  - Contextual awareness through knowledge graph integration - Automated quality assurance system that flags potential brand inconsistencies
  

This architecture has allowed our clients to maintain perfect brand consistency while still leveraging the creative capabilities of generative AI.

Product-Led Transformation at GoDaddy

Challenge: Transform user experience and business outcomes.
When I joined GoDaddy, the Marketing Suite suffered from feature bloat, inconsistent user experiences, and declining adoption.

Here's how I applied systematic product management approaches to turn it around:
• Discovery Phase:
  - Conducted 50+ customer interviews using the Jobs-to-be-Done framework
  - Analyzed product usage data to identify most/least used features
  - Created customer journey maps highlighting pain points and opportunities
  - Conducted competitive analysis to identify market gaps and opportunities
  - Synthesized findings into opportunity themes, presenting to executive stakeholders
  
• Strategic Framework Development:
  - Facilitated executive workshops to align on product vision and success metrics
  - Created a prioritization framework incorporating business impact, customer value, and technical feasibility
  - Developed a product health dashboard with leading and lagging indicators
  - Established quarterly business reviews to reassess priorities based on market changes
  
• Execution Model:
  - Implemented dual-track agile with dedicated discovery and delivery tracks
  - Created a "simplification sprint" concept focusing exclusively on reducing complexity
  - Established a feature retirement process with clear criteria for sunsetting
  - Implemented a modular architecture approach enabling incremental improvements
  - Developed standardized documentation templates for consistent communication
  
• Outcomes & Learnings:
  - 5% lift in adoption (representing millions in revenue)
  - 35% improvement in customer satisfaction
  - $300K annual cost savings
  - 40% reduction in time-to-value for new customers
  

The key insight from this transformation was that removing features strategically had more impact than adding new ones. By applying rigorous product management principles focused on user needs, we transformed a declining product into a growth driver.