Sendwiz
Artificial Intelligence / Social Productivity
2023
Lead Product Designer (Strategy, UX/UI, Prompt Engineering Logic)
8-Week Sprint (Concept to High-Fidelity)
Sendwiz is a next-generation iOS productivity ecosystem designed to bridge the gap between human intention and digital execution. By integrating LLM-powered composition with a robust scheduling engine, we transformed "messaging" from a manual chore into a strategic, automated workflow. The Strategic Challenge: The "Cognitive Friction" Problem In an era of hyper-connectivity, users suffer from "Communication Debt." The mental overhead of remembering to send a high-stakes professional follow-up or a personal milestone message often leads to missed opportunities or social friction. The core friction points identified: Temporal Anxiety: The fear of forgetting a time-sensitive message. Creative Block: The "blank cursor" syndrome when trying to strike the right tone. Efficiency Gap: The repetitive nature of manual outreach for power users.
Discovery & Data-Driven Logic
To move beyond assumptions, I spearheaded a competitive audit of the "Reminders" and "CRM" landscapes. The Insight: Existing tools were either too "utilitarian" (boring) or too "enterprise" (complex). There was a vacuum for a "Lifestyle CRM"—a tool that feels as personal as iMessage but as powerful as Salesforce. User Modeling: We focused on "The High-Output Professional" and "The Social Connector," ensuring the architecture supported both high-frequency professional nudges and low-frequency personal milestones.
Design System & Execution Strategy
1. Zero-Friction Information Architecture C-level executives value speed-to-value. I designed a "Flat" navigation structure to ensure that a user can go from "App Launch" to "Scheduled Message" in under three taps. 2. The AI "Co-Pilot" Framework Instead of making AI a gimmick, I treated it as a collaborative layer. Contextual Awareness: The AI doesn't just write; it suggests based on the category of the message (e.g., "Professional Follow-up" vs. "Birthday"). The "Human-in-the-Loop" Principle: Every AI suggestion is structured as a draft. This mitigates the "uncanny valley" of automated bots and keeps the user in total creative control, maintaining authenticity. 3. iOS-Native Aesthetic (The "Delight" Factor) To earn a spot on a user's home screen, Sendwiz needed to feel like a first-party Apple app. I utilised high-contrast typography and haptic feedback loops to create a premium, tactile experience that screams reliability. Technical Considerations & Trust: Privacy-First Architecture For any AI product, Trust is the primary currency. I designed a transparent "Data Permission" flow that clearly explains how AI processes text locally vs. in the cloud. We implemented "Privacy by Design," ensuring that message content is encrypted until the moment of transmission. Impact & Reflection The Result: A cohesive, scalable mobile product that reduces the cognitive load of digital communication by an estimated 60% (based on prototype testing cycles). Key Achievement: Successfully balanced complex AI prompt-chaining with a minimalist UI that doesn't overwhelm the user. Scalability: The framework is built to eventually support cross-platform integration (WhatsApp, Slack, Telegram) via API hooks.
