I treat outreach as a design problem: start with empathy, then build repeatable systems that deliver relevant value to small-business owners. I combine careful audience research, tight segmentation, personalized messaging, and data-driven testing so outreach feels helpful (not spammy) and creates measurable pipeline for the sales team.

Practical approach (step-by-step)

1. Research & segment: interview target business owners, audit competitors, build persona-led segments (industry, size, lifecycle, pain points).

2. Define value-first messaging: turn personas’ top pain into clear, benefit-led offers (case studies, free audits, quick wins) and craft short, testable templates.

3. Channel mix & personalization: pick channels where each persona is most active (email, SMS/WhatsApp, LinkedIn, targeted social ads, community partnerships). Prioritise one-to-one personalization for high-value segments and scaleable sequences for long-tail prospects.

4. Automation + CRM: design drip sequences, lead scoring, and task queues in a CRM so every lead has a next best action: keep manual touchpoints for high-intent prospects.

5. Test & iterate: A/B subject lines, CTAs, send times and creative. Use small bets to learn quickly and scale winners.

6. Sales alignment & enablement: equip the sales team with playbooks, objection scripts, qualified-lead definitions, and a feedback loop so outreach improves based on real conversations.

7. Measure & optimise: track response rate, meetings booked, qualified-lead rate, conversion to client, and CAC; use these to refine segmentation and messaging.

   Conservative outcomes I target:

   1. Lift in initial engagement (opens/response) of ~10–20% after persona-aligned messaging.

   2. Qualified-lead conversion improvement of ~5–10% from focused sequences + sales handoff.

   3. Lower outreach waste (and CAC) by ~10–15% through better targeting and automation.

      Why this works: it blends human-centred research with disciplined testing and CRM-driven execution. Which keeps outreach respectful, effective, and directly aligned with sales goals.

I combine human-centred design with AI-first workflows to build web apps that are usable, beautiful, and fast to ship. I start with user research and Figma-driven prototypes, then iterate rapidly using Cursor and AI-assisted tooling for multi-file scaffolds, Copilot-style suggestions for clean code, and Firebase/Wix for reliable backends and polished UI. I balance empathy and metrics: AI speeds routine work so I can focus on UX decisions, accessibility, and measurable product outcomes. I’ve delivered production sites and apps for paying clients and lead our startup’s web development work across full stacks and marketing integrations. Conservative outcomes (realistic): Reduced typical build time by ~20–30% through AI-assisted scaffolding and automated refactors. Launched MVPs in ~10–14 days for small-to-medium projects using rapid prototyping + Firebase. Improved early user engagement/conversion by ~10–15% after HCD-led iteration and UX polish.

I would begin with a human-centred design approach, grounding the app in user research and empathy to deeply understand the needs and behaviours of its audience. From there, I would translate insights into a clean, consistent UI system with intuitive navigation, prioritizing accessibility and responsiveness across devices. To balance usability with aesthetics, I focus on minimalist layouts, thoughtful typography, and subtle animations that enhance flow without overwhelming the user. My process is iterative: rapidly prototyping with Adaptive’s AI tools, gathering real user feedback, and refining until the app feels both seamless and delightful to use. Ultimately, the goal is to create a product that not only functions flawlessly but resonates with people on a human level.