CONVERSATION ARCHITECTURE · SOCIAL AUTOMATION · AI-ASSISTED VIDEO
KOPPS Messenger Automation & AI Video
A social-media support experience that combines conversation-flow architecture, Messenger automation, parent-centered information design, and AI-assisted video production into one connected digital experience.
Turn repeated social-media questions into a guided experience.
Parents interested in KOPPS flag football needed quick answers about registration, league information, schedules, locations, and other common questions. Answering the same questions manually through social media created an opportunity to design a more consistent and scalable experience.
The solution needed to feel simple to the parent while handling multiple pathways behind the scenes. It also needed to preserve a clear route to human support when an automated path was not enough.
CONVERSATION ARCHITECTURE
Designing the logic before building the bot.
The visible Messenger menu is only the front end. The work behind it required mapping parent intent, decision points, responses, fallbacks, and destinations into a connected conversation architecture.
Conversation-flow architecture shown in the project video.
Intent Mapping
Organized common parent needs into clear entry points instead of relying on open-ended navigation.
Branching Logic
Designed paths that move parents from a question to the most relevant information or action.
Fallback Design
Created support paths for questions that do not match the primary automated choices.
Action Routing
Connected conversations to registration, league details, schedule and location information, and human support.
THE EXPERIENCE
Simple choices on the surface. Structured logic underneath.
The Messenger experience uses concise menu choices and guided responses so parents can quickly reach the information they need. The architecture supports registration, league information, schedules and locations, additional questions, and support options while keeping the interaction approachable.
Showing the system through motion, not just screenshots.
I also produced the project video as a multimedia case-study artifact, combining AI-assisted visual production with screen captures, motion, graphic composition, pacing, and narrative sequencing to explain how the automation works.
AI-Assisted Visuals
Used generative tools as part of the visual-production workflow to support branded scenes and creative presentation.
Screen-Based Evidence
Integrated actual bot screens and architecture views so the video demonstrates the working design rather than relying only on conceptual graphics.
Motion & Pacing
Sequenced visuals to move from the communication problem to the bot experience, architecture, and user pathways.
Digital Storytelling
Turned a technical automation build into a concise story that stakeholders and portfolio viewers can understand.
WHAT THIS PROJECT DEMONSTRATES
Designing across systems, communication, and media.
Conversation-flow architecture
Social-media automation
Information architecture
User-centered navigation
ManyChat development
Facebook Messenger experience design
AI-assisted multimedia production
Video editing and visual storytelling
Brand-aligned digital communication
Iterative testing and refinement
EXPLORE MORE WORK
From conversation architecture to learning architecture.
