Empowering buyers and supporting ethical breeders through data-driven microlearning.
Skills: UX Research, Data Analysis, LX Design, Content Strategy, Product Management, Independent Execution
Through my research, I observed that many prospective dog owners feel frustrated and confused by the lack of clear, reliable resources. Advice about breeds, training, and puppy care is often contradictory, leaving new owners uncertain about how to make responsible decisions. This confusion highlighted a clear need for educational tools that simplify the learning process and support informed dog ownership.

Role: UX & CX Researcher / Learning Experience Designer
Scope: Independently designed and executed a data-driven learning tool for prospective puppy buyers and ethical breeders by:
Outcome: Enabled buyers to make informed, responsible decisions, reduced repetitive teaching burden for breeders, and established a scalable, data-driven education tool with measurable engagement metrics (301 learners, 75 completions, 25% completion rate).
Prospective dog owners and ethical breeders face a disconnect that leads to confusion and missed opportunities. Specifically:
Puppy Pathways empowers would-be puppy owners to make informed, confident choices through concise, research-backed learning experiences. Breeders gain a trusted resource they can share to educate and support their future buyers.
If prospective puppy owners engage with the scenario-based Rumie Bytes modules, then at least 50% of learners will complete all four modules and interact with multiple micro-lessons, demonstrating increased retention and understanding of breed-specific knowledge.
These principles guided the design of Puppy Pathways to ensure a seamless, engaging, and accessible learning experience:
After collecting survey responses from over 50 ethical breeders, I used Python and Pandas to analyze the data and extract actionable insights. My analysis focused on understanding buyer misconceptions, breed behavior, and breeder practices, which directly informed the design of the Rumie Bytes microlearning modules and the next, breed-specific survey.
Insights Informing Learning Design:
Outcome:
This analysis directly shaped the content priorities for the Rumie Bytes, validated the need for scenario-based learning, and provided a clear framework for the next breed-specific survey.

I applied a SAM (Successive Approximation Model) iterative design process to turn insights from breeder surveys into engaging, effective microlearning modules. This approach allowed me to rapidly prototype, test, and refine content based on real learner feedback, ensuring that each module addressed actual buyer needs and misconceptions.




Based on my research, personas, and journey insights, I designed 2 of 4 interactive Bytes that directly support the buyer’s path:
Each module is short, scenario-based, and interactive, helping buyers internalize lessons while reducing repetitive questions for breeders.
To validate my survey and test my Rumie Bytes, I applied a lean marketing approach:
This lightweight outreach confirmed there was an audience for Puppy Pathways and helped refine the messaging before scaling.
I tracked engagement and feedback from the Rumie Bytes to measure the effectiveness of the microlearning modules, finding that buyers gained clear, actionable guidance at key decision points, ethical breeders experienced reduced repetitive teaching burden, and the engagement metrics validated the approach and informed next steps for scenario-based learning modules.

This educational project has been highlighted by Laura Reeves a respected ethical breeder in the dog show industry as a valuable resource for prospective dog owners.

This recognition demonstrates that my work addresses a real industry need, provides practical guidance for buyers, and supports ethical breeders in communicating their practices effectively.
