jiaxizhao

• Product Planning & Iterations: Owned roadmap, backlog, and sprints for task escrow, reputation system, and incentive loop; defined OKRs, success metrics, and release plan; authored PRDs, user stories, acceptance criteria, and sequence/ER diagrams; coordinated design/engineering to deliver a 0→1 MVP and two rapid iterations. • User Requirements → Specs: Interviewed projects/KOLs/media to run JTBD analysis and usability tests; translated pain points into specs and Figma wireframes; prioritized with RICE/MoSCoW; scoped edge cases (disputes for escrow, reputation decay/slashing, anti-Sybil checks). • On-Chain Interaction Design: Mapped wallet auth, signature flows, chain selection, and proof-of-task (event/log verification, oracle/attestation); designed rewards ledger and settlement rules; wrote risk controls for farming, duplicate tasks, and wash referrals. • Incentive Economics: Modeled points/badges/tiers/referral multipliers and dynamic emission curves; set cooldowns, budget guards, and KPI gates (conversion quality > volume); aligned incentives across creators (KOLs), projects, and users. • Data-Driven Optimization: Implemented tracking plan and dashboards for activation, retention, conversion, and on-chain task completion; ran A/B tests on copy, reward weights, and onboarding UX; conducted cohort and funnel analyses to reduce drop-off and improve cost-per-conversion. • Industry & Competitive Intelligence: Tracked PRFi/SocialFi/DAO patterns and competitors (e.g., quest platforms, reputation/DID stacks); delivered monthly teardown memos turning insights into testable hypotheses and design revisions; launched ambassador beta with structured feedback loops. • Cross-Functional Delivery: Ran stand-ups/sprint ceremonies, aligned marketing, BD, design, and engineering; managed localization (EN/ZH) and brand consistency across product surfaces and help center content. Key Results: • Scaled early user base from ~500 to 15,000 in two weeks via referral quests and refined incentive rules; single campaign exceeded 1M views/impressions. • After IA/onboarding redesign, retention and comprehension up ~30%, with higher conversions (tutorial clicks, registration, quest participation). • Launched 1–2 ambassador pilots driving co-branded quests/airdrops; established KPIs to balance reward cost vs. conversion quality and inform budget allocation. • Produced tokenomics explainers that fed directly into PRD updates (e.g., perpetual cost model, LP rewards vs. fees vs. liquidity risks) and hardened anti-abuse policies. Southern University of Science and Technology | Research Assistant, Systems Engineering Sep 2023 – Apr 2024 | Shenzhen Key Responsibilities & Achievements: • Converted DeFi/Layer2/RWA research into product-ready flows, wireframes, and visual explainers for docs and tutorials—clarifying protocol yield paths, smart-contract execution, and user task states for non-technical audiences. • Built animated prototypes and educational videos to validate comprehension; ran small-group tests mirroring AMA/tutorial formats to inform onboarding copy, information hierarchy, and glossary design. • Co-authored whitepaper summaries, technical briefs, and PRD-adjacent knowledge-base articles; enforced a consistent, transparent product voice in English/Chinese. • Tracked PRFi/SocialFi/DAO literature and community signals; distilled insights into design notes, KPI suggestions (activation, retention, reputation health), and optimization recommendations for future product direction.

• Objective & Task: Developed a crypto intraday return prediction and ranking model, forecasting 24h returns of selected tokens. Used weighted Spearman rank correlation as the primary evaluation metric, emphasizing outlier detection at both ends of the distribution. • Modeling & Engineering: Built a fully reproducible pipeline using Python (pandas, NumPy, scikit-learn). Engineered VWAP-based features including 7-day momentum, volatility, and volume accumulation. Handled missing values and rolling windows, trained linear and factor models with cross-validation. • Compliance & Submission: Delivered id-predict_return CSVs and single-file Python submissions per Kaggle rules. Prevented information leakage, distinguished in-sample (40%) vs. out-of-sample (60%) sets for rigorous evaluation and documentation. • Strategy & Iteration: Applied weighted multi-factor ranking and scoring. Focused on stable head/tail token identification; iteratively improved feature selection, regularization, rolling backtests, and leaderboard volatility control. • Web3 Relevance – Community Content Integration: Translated quantitative findings into community-facing content: created Twitter threads and YouTube scripts to explain indicators, visualize backtests, and illustrate risk-control logic. Supported social media topic planning and reporting with data dashboards (engagement rate, CTR, sentiment trends). • Tool Stack: Python (pandas, NumPy, scikit-learn), Kaggle, Git, Matplotlib, Seaborn.

ChainCatcher | Product Manager Jan 2024 – May 2025 | Remote Company Overview: ChainCatcher is a leading Chinese Web3 media and data platform focusing on DeFi, NFTs, GameFi, and RWA. It serves a large audience of blockchain-native users with deep-dive content and industry coverage. Key Responsibilities & Achievements: • Product Strategy & Iterations: Led roadmap planning and 0→1 delivery for task escrow, reputation scoring, and incentive loops aligned with major Web3 milestones (e.g., DeFi launches, airdrops, RWA integrations). Defined MVP scope, user stories, and phased releases to ensure timely execution. • User Research & Specs: Collected and synthesized requirements from projects, KOLs, and media partners, translating insights into PRDs, acceptance criteria, and flow diagrams—guiding cross-team design/engineering work and on-chain interaction design. • Data-Driven Optimization: Monitored weekly KPIs including activation, retention, conversion, and on-chain success rates via analytics dashboards. Improved onboarding completion by ~40% through A/B testing, cohort analysis, and UX refinements; tracked PRFi/SocialFi/DAO trends to inform iterations. • Multimedia Production & Brand Voice: Designed visual assets (logo animations, transitions, GIFs, branded video templates) and built a professional yet friendly brand tone. Launched educational content series like “3-Minute Explainers” and “Deep Dives” to simplify complex DeFi and Layer2 topics. • Cross-Channel Alignment: Ensured consistency across Twitter/X, Weibo, Xiaohongshu, Bilibili, and Medium, synchronizing social posts with blog updates, tutorials, and tokenomics announcements. Collaborated with internal design and product teams on visual storytelling and product education. • Competitive Monitoring & Trend Analysis: Conducted regular analysis of content and community strategies from competitors like EdgeX and Hyperliquid. Produced monthly trend reports covering sentiment analysis, gamification tactics, and format shifts (short video vs longform vs animated content).

• Multi-Agent Factor Discovery with GPT: Simulated research workflows using GPT-powered multi-agent systems to improve factor generation efficiency and diversity; experience applicable to personalized Web3 content recommendation systems. • Econometric Analysis of Delivery Efficiency: Applied clustering and econometric modeling to analyze group performance variance; methodology transferable to Web3 user segmentation and tiered community engagement. • Intelligent Rider-Order Matching Optimization: Built a match scoring model with machine learning algorithms for task allocation; logic applicable to DAO job assignment, on-chain resource scheduling, and governance system design.

• Owned PRD drafts for a federated risk-scoring/oracle product on FATE; defined metrics, data contracts, and release criteria for on-chain credit, RWA pricing, and smart-contract risk modules (0→1 scope). • Built a “health index” oracle and specified wallet/attestation flows, feed freshness, and reputation of data providers; designed rewards and slashing rules to close the incentive loop. • Designed dynamic pricing functions (risk-tiered rates) and securitization pool logic; iterated via simulation dashboards, A/B stress tests, and cohort analysis to optimize product performance. • Collected cross-industry requirements (manufacturing/finance/supply chain) and aligned EN/ZH stakeholders; implemented Chainlink Functions/Data Union pipelines for scalable on-chain interactions.

• Led product discovery for a fictional Web3 ecosystem, adapting consulting frameworks to 0→1 planning, backlog prioritization, and iterative design of task, reputation, and incentive modules. • User Research & Segmentation: Ran data-driven analysis to inform PRDs, user stories, and acceptance criteria; mapped conversion paths for PRFi/SocialFi growth models. • Value Proposition Design: Structured multi-tier benefits aligned with NFTs/DAO membership; defined reputation accrual and reward distribution rules to sustain the incentive loop. • Digital & Governance Strategy: Proposed IoT/wearables UX and DID integration; outlined DAO task escrow processes, contributor verification, and dispute handling. • Expansion Roadmap: Delivered phased GTM with pilots, regional replication, and cross-chain scaling; set KPIs for activation, retention, and LTV/CAC. • Collaboration & Delivery: Managed roles, sprints, and bilingual (EN/ZH) docs; produced visual decks and measurable recommendations for product, media, and investor narratives.

• Converted DeFi/Layer2/RWA research into product-ready flows, wireframes, and visual explainers for docs and tutorials—clarifying protocol yield paths, smart-contract execution, and user task states for non-technical audiences. • Built animated prototypes and educational videos to validate comprehension; ran small-group tests mirroring AMA/tutorial formats to inform onboarding copy, information hierarchy, and glossary design. • Co-authored whitepaper summaries, technical briefs, and PRD-adjacent knowledge-base articles; enforced a consistent, transparent product voice in English/Chinese. • Tracked PRFi/SocialFi/DAO literature and community signals; distilled insights into design notes, KPI suggestions (activation, retention, reputation health), and optimization recommendations for future product direction.

• Video Data Verification: Matched and standardized video stream and transaction data using SQL and Pandas; ensured data consistency, applicable to on-chain video traceability and NFT content authenticity validation. • Data Analysis & Visualization: Built comparison dashboards and anomaly detection charts using advanced Excel functions and Python visualization libraries; contributed to enhanced operational transparency and can be applied to Web3 on-chain analytics. • Collaboration & Project Management: Used Jira and Teams to coordinate progress across departments, improving execution efficiency—a transferable skill for DAO-based task coordination and governance operations. Key Results: • Improved data verification accuracy by 15%. • Detected and prevented 5 merchant-level data fraud incidents. • Enhanced team collaboration and project delivery speed significantly.

• Defined a 0→1 product concept and PRD for AurionX, translating research into specs, storyboards, and acceptance criteria; aligned planning/iterations with task workflows and incentive hooks. • Intelligent Video Editing: Implemented NLP+CV highlight extraction and dynamic recommendations; framed contributor review as task escrow with reputation-weighted routing—relevant to modular NFT content pipelines in Web3. • Voice Interaction & Quick Playback: Mapped user journeys and success metrics; prototyped low-latency controls and edge cases, informing on-chain interaction scenarios (e.g., DAO voice commands) and measurable UX KPIs. • Cross-Language Media Translation: Leveraged LLM + voice cloning to design EN/ZH localization flows, versioning, and QA; supports SocialFi-style distribution and global go-to-market with consistent brand voice.