Figma
FigJam
Microsoft Clarity
Google Analytics 4
Looker Studio
NotebookLM
Claude
ChatGPT
Web, Mobile & Android TV
8 Weeks
Bamdad Khomar was an 8-week co-branded campaign connecting Sheyda VOD, WallGold and Irancell through content consumption, gamified missions, account creation, cross-platform transitions, and subscription purchases. My responsibility was to optimize the end-to-end service journey using behavioral analytics, UX research, and AI-assisted insight generation.
Optimizing cross-platform campaign journeys
CTA Discoverability
Primary actions were often overlooked, reducing overall conversion opportunities across landing pages
Cognitive Load
Mission-based interactions required users to understand rewards, progress, and multiple next steps
Conducted heuristic evaluations across landing pages, mission flows, and critical user journeys to uncover friction and usability issues before launch
Identified high-impact UX risks such as unclear CTA hierarchy, misleading affordances, inconsistent interaction patterns, and potential drop-off points
Analyzed cross-platform user interactions across Sheyda VOD, WallGold, and Irancell to improve service continuity and reduce journey friction
Validated core user flows using AI-assisted UX reviews, edge-cases analysis, and alternative navigation scenarios to strengthen the overall experience
Established a prioritized, launch-ready UX improvements roadmap based on research findings, behavioral insights and usability evaluations
Service Blueprint, Journey Mapping, and Experience Startegy
Designed complex user journeys across different user states, scenarios, and service touchpoints
Mapped success, failure, and recovery paths to reduce friction and improve experience resilience
Structured cross-platform services flows to ensure consistency and seamless experience
Prioritized UX improvements through research insights and business impact analysis
Analytics & Continues Validations
Defined a behavior-first analytics strategy to measure user interactions and campaign performance
Established campaign KPIS, event tracking, and conversion funnels across key touchpoints
Planned post-launch monitoring workflows using behavioral analytics and session recordings
Integrated AI-assisted insights generation into the research process to accelerate UX decision-making
End-to-End Campaign Touchpoints Across Multiple Platforms
Landing Experience
Improved messaging hierarchy, CTA visibility, and above-the-fold discoverability to encourage user engagement, reduce friction, and increase conversion opportunities across landing pages
Mission Flow
Designed a clearer mission progression with stronger reward feedback, progress visibility, and more intuitive task completion to improve user motivation, completion rates, and overall engagement
Cross-platform Flow
Optimized user transitions between Sheyda VOD and WallGold to improve service continuity, reduce cross-platform friction, and create a more seamless end-to-end experience for users across both platforms
Simplified the subscription selection and purchase flow to reduce decision complexity, improve purchase confidence, and create a smoother path from plan selection to successful payment
Behavioral analytics
Designed event tracking, conversion funnels, and behavioral dashboards to support continuous UX evaluation, uncover user behavior patterns, and enable more informed product decisions
Continues Optimization
Established an iterative optimization process driven by behavioral insights, usability findings, and post-launch performance analysis to continuously improve the campaign experience and overall user journey
Launch Execution and Continuous Optimization
Campaign Execution
Collaborated with product, marketing, and engineering teams to improve the campaign experience
Delivered UX enhancements across key user journeys before and after launch
Prioritized design improvements using behavioral insights, usability findings, and business goals
Iterated campaign experiences based on user feedback, analytics, and performance insights
Post-Launch Validation & Optimization
Analyzed GA4 conversion funnels to identify drop-off points and optimization opportunities
Reviewed Microsoft Clarity session recordings to understand user behavior and interaction patterns
Investigated rage clicks, dead clicks, and other usability issues affecting engagement
Leveraged AI-assisted analysis to accelerate insight generation and prioritize UX improvements
Data-driven improvements across the campaign:
Landing Page CTA Success Rate improved from single digit values to over 60% after UX fixes
CTA Drop-Off Rate decreased from ~93% to ~55 - 65% across key landing flows
Overall Purchase Rates stablished between ~0.3 - 0.7%, peaking at ~0.9% on high-traffic days
WallGold Signup CTR increased to ~17% post-redesign, while Gold Purchase CTR reached ~2.1% after UX optimization
Engagement Rate improved to 48 - 56%, with 4+ minutes average engagement time
Reduced rage clicks and dead clicks while improving View on Sheyda CTR (~2 - 5%) and Invite Friends CTR (~0.8 - 2.8%)
Service design revealed user experience friction beyond individual interfaces
Behavioral analytics improved the accuracy of UX decision-making
AI accelerated research accelerated insight synthesis without replacing design judgment
Continuous iteration produced stronger outcomes than large, one-time redesigns
Product Design · Service Design · UX Strategy · User Journey Mapping · Service Blueprint · Heuristic Evaluation · Behavioral Analytics · Google Analytics 4 · Microsoft Clarity ·
Looker Studio · Cross-functional Collaboration · AI-assisted UX Research · ChatGPT · Claude · NotebookLM · Figma · FigJam
I focus on designing system-driven experiences that align with business goals.
If this approach resonates with your product, feel free to get in touch.
