DOVER
RAG LLM
CHATBOT
BLOCKCHAIN FOR SECURE TICKETING
I conducted an in depth business and product research study for BlockParty, a conceptual blockchain integrated ticketing system for SeatGeek. This project was an exploration into PM documentation, where I focused on understanding pain points in the secondary ticketing market, competitive positioning, and revenue potential.
PM DOCUMENTATION
MARKET RESEARCH
CUSTOMER PAIN POINTS
COMPETITIVE ANALYSIS
BUSINESS MODELING
GOAL
Investigate how blockchain could improve ticket verification and fraud prevention in resale markets
OUTCOME
Developed a comprehensive product strategy document including a user pain points, a product one pager, FAQs, and business model projections
THE OPPORTUNITY
pain points
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Fraud and counterfeit tickets
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Lack of transparency
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Chargebacks and disputes
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Erosion of trust
product vision
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Blockchain backed ticket verification
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Seamless integration
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Immutable ownership history
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Reduction in fraud costs
PRODUCT RESEARCH
01 / market research & competitive analysis
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Studied existing secondary ticketing platforms (SeatGeek, StubHub, Vivid Seats, Ticketmaster)
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Analyzed how blockchain can be explored in ticketing
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NFT based tickets
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Fraud prevention models
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Opportunities for differentiation
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Fraud elimination from immutable records
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Consumer trust through security
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Potential new revenue streams from blockchain integration
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02 / business model and revenue potential
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Estimated revenue impact
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Projected cost savings
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Explored monetization strategies
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Transaction fees
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Premium verification services
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Year 1 Revenue Forecast
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$50M in transaction fees (2% per verified ticket)
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$25M in increased customer retention through trust
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$75M total projected revenue increase
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03 / product strategy & implementation
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PRFAQ press release and FAQ document for product vision and concerns
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Seamless customer experience
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Zero learning curve Automatic blockchain verification
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Enhanced resale transparency
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Risks
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Blockchain skepticism from non technical users
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Transaction queuing issues at high volumes
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Upfront costs vs. long term savings
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TAKEAWAYS & REFLECTIONS
what i learned
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Deep market research is essential
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Documentation and storytelling matters
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Business modeling informs prioritization
next steps
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Prototyping blockchain ticket tracking proof of concept
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Running A/B testing to measure impact on customer trust and engagement
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Developing partnerships with event organizers to drive adoption
