🔥 Designing High Impact Products

As a Senior Product Designer at Alarm.com, I drove the UX vision behind some of the company’s highest-impact products — helping power major revenue streams in video monitoring, AI-driven analytics, and mobile experiences.

I worked cross-functionally with PMs, developers, and QA teams to ship customer-facing features across responsive Webviews, iOS, and Android — under aggressive timelines and evolving scopes. Despite limited resources, I led efforts that directly improved proactive security, user engagement, and business differentiation.

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💼 Leadership & Strategy‍

Over the course of the projects I've worked on, I’ve taken ownership beyond visuals — contributing at the product level:

• 🧠 Strategic Influence: Aligned UX goals with product KPIs and roadmap priorities (especially across AI rollouts)

• 🤝 Cross-Functional Leadership: Ran weekly design/dev syncs and directly facilitated scope negotiations with PMs

• 👥 Mentorship: Advised junior team members and collaborated with newer engineers on user-focused decision making

• 📊 Executive Communication: Presented high-level UX outcomes to stakeholders for roadmap funding and prioritization

• 🧰 Design Ops Impact: Helped evolve a modular Figma system for scale and version control across feature teams

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📽️ 3 Notable Projects (Out of many)

🔒 While I’m eager to showcase more of the interfaces and design flows I’ve created for these projects, but due to confidentiality, full designs can’t be shown publicly. I’d be happy to walk through detailed design flows in a secure, 1:1 setting.

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Project 1

🤖 AI Chatbot Projects

Bringing Conversational AI to Alarm.com

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🔍 Overview

• 📍 Scope: Designed Alarm.com’s first AI chatbot for dealers & mobile app users
• 🎯 Outcome: Reduced support tickets, improved internal efficiency, and positioned the brand as an AI innovator
• 🛠 Role: Lead designer on multi-disciplinary team (PMs, devs, QA)
• 💥 Key Wins: Intuitive UX, LLM prompt testing, conversational UI

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🧩 The Challenge

With the rise of AI, Alarm.com needed a conversational UI to help both dealers and consumers access device info, troubleshoot problems, and execute smart actions — all without backend bloat.

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🛠 Process & Strategy

Discovery

• Researched how users request support and commands
• Explored LLM-powered UX for faster knowledge retrieval
• Designed seamless integration into both Dealer and Mobile apps

Conversation Flows

• Started with non-conversational prototype → iterated toward thread-based assistant
• Designed fallback/error flows for AI misunderstanding edge cases

Collaboration & Iteration

• Aligned a rotating cast of PMs and QAs around evolving product goals
• Held weekly dev syncs to test LLM behavior and UX under real conditions

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📈 Outcome & Impact

• 📘 Dealer Training: Widely adopted by dealers for support and install help
• 💬 Mobile Bot: Positive internal feedback; rollout to broader user base underway
• 🔥 Business Value: Positions Alarm.com as an innovator in smart home AI

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💡 Lessons & Reflections

• 🧠 Challenge: Compensating for immature AI backend with UX
• ✍️ Aha Moment: Great conversation design is about guiding input, not just generating answers
• 🔄 Next: Expand knowledge base and improve feedback loops

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Project 2

🧠 Familiar Vehicle & Face

Enhancing User Awareness with Algorithmic Recognition

‍🔍 Overview

• 📍 Scope: Created AI-powered face/vehicle recognition UI for personalized alerts
• 🎯 Outcome: Became one of the most-requested features and highlighted in major marketing pushes
• 🛠 Role: Lead UX/UI designer collaborating with PM and 8+ engineers
• 💥 Key Wins: Multi-photo UX, user nudges, real-time AI adaptation

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🧩 The Challenge

Users couldn’t easily tell whether someone on their property was familiar or not. Alarm.com’s analytics team needed a feature to recognize vehicles and faces — boosting trust, personalization, and security.

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🛠 Process & Strategy

Discovery

• Started with single-photo input → pivoted to multi-photo UX mid-build
• Benchmarked competitors and explored user expectations
• Researched how to nudge users to enable recognition features

Iterating the UX

• Redesigned mid-development to handle 5 photo uploads per profile
• Created custom UI components to align with existing codebase
• Ran weekly office hours with engineers to stay ahead of changing AI requirements

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📈 Outcome & Impact

• 🔥 User Demand: Became one of the most-requested features
• 🎯 Marketing Win: Highlighted in major customer campaigns
• 🛠️ Technical Milestone: Set foundation for future AI expansions

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💡 Lessons & Reflections

• 🧠 Challenge: Constant AI spec changes demanded extreme flexibility
• 📌 Aha Moment: Keeping a “living” Figma file with strict version control kept everyone aligned
• 🔭 Next: “Familiar Face 2.0” and deeper AI personalization

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Project 3

📹 Remote Video Monitoring (RVM)

Preventing Crime Before It Starts

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‍🔍 Overview

• 📍 Scope: Designed unified console for video events across home security products
• 🎯 Outcome: Increased operator response time & product adoption across commercial/residential clients
• 🛠 Role: Sole product designer from concept to ship, working with multiple PMs and Devs
• 💥 Key Wins: Minimalist timeline UI, modular Figma system, MVP prioritization framework

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🧩 The Problem

Monitoring stations lacked a unified platform to act on real-time video events. Operators needed a single console to stop intruders proactively, with fast access to clips, live feeds, and device actions.

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🛠 Process & Strategy

Discovery

• Interviewed operators to identify workflow friction and high-impact pain points

• Analyzed qualitative usage data to isolate the 20% of features delivering 80% of value

Prototyping

• Designed minimal console layout with timelines, triggers, video feeds, and action buttons

• Explored cross-platform flexibility for both web and mobile

• Iterated with PMs/stakeholders to finalize MVP

Scaling the Solution

• Designed a modular Figma system to accommodate fast-growing feature sets (AI deterrents, third-party integrations)

• Conducted weekly engineering check-ins to minimize rework and scope drift

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📈 Outcome & Impact

• ✅ Adoption: Became a flagship product for Alarm.com across commercial and residential markets
• ⏱️ Efficiency: Operators reported faster, more intuitive event handling
• 💼 Business Value: Strengthened Alarm.com’s edge as a proactive, high-end security solution

‍💡 Lessons & Reflections

• 🧩 Challenge: Feature creep under aggressive timelines
• ⚡ Aha Moment: Identifying the 10x impact features early on made prioritization easy
• 🔄 Next: Scaling device triggers, analytics, and third-party integrations

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‍🎯 My Final Thoughts

At Alarm.com, I’ve honed the ability to own complex products end-to-end — navigating fast-paced teams, unclear requirements, and evolving technologies to deliver polished, high-impact outcomes. Whether I’m revamping legacy systems or steering new AI-powered features, I bring a deep balance of user empathy, technical fluency, and business strategy to every design decision.

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Other projects I've worked on:

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‍📱 Alarm.com Customer App

iOS Interactive Widgets