Product Portfolio

Cherechi Orika

Senior Product Manager
Enterprise SaaS · B2B Platforms · Marketplace Products · AI-Native Product Builder

I combine product thinking with AI-native execution to validate ideas fast and ship real software. Five plus years across HealthTech, TalentTech, and SaaS, and a growing shelf of products I have built end to end.

01

About

I am a Product Manager with five plus years of experience building enterprise SaaS, B2B platforms, marketplace products, and AI-enabled software across HealthTech, TalentTech, and SaaS.

Outside of my full-time roles, I build products myself using AI. Rather than using AI only for writing or brainstorming, I use it throughout the entire product lifecycle, from customer discovery and PRDs to engineering, debugging, deployment, analytics, and workflow automation. This portfolio showcases selected products I have built, and shows how I combine product thinking with AI-native execution to rapidly validate ideas and ship software.

02

How I build with AI

AI is embedded across my product development workflow, not bolted on at the end. Here is where it works, phase by phase, and the tools I reach for.

Product Discovery

  • Customer interviews
  • Competitor research
  • Jobs-to-be-Done
  • Opportunity mapping
  • Product strategy
  • Feature ideation
ToolsChatGPTClaude

Product Planning

  • PRDs
  • User stories
  • Acceptance criteria
  • Roadmaps
  • Prioritization
  • Release planning
ToolsClaudeChatGPTNotion AI

UX & Product Design

  • User flows
  • Information architecture
  • UX reviews
  • Design critiques
  • Wireframes
ToolsFigmaClaudeChatGPT

Engineering

AI as my engineering partner to build production-ready software.
  • System architecture
  • Database modelling
  • Feature implementation
  • Debugging
  • Refactoring
  • Code reviews
  • Testing
ToolsClaude CodeCursorChatGPTGitHub

Launch

  • Analytics
  • CRM integration
  • Event tracking
  • Email automation
  • Product rollouts
ToolsHubSpotGA4GTMResendZoho

Continuous Improvement

After launch, analytics and AI to keep learning.
  • Analyse behaviour
  • Identify bottlenecks
  • Prioritize features
  • Generate experiments
  • Improve adoption
ToolsGA4HubSpotClaude
03

Selected work

Four products, built with AI as a partner across discovery, design, engineering, and launch. Click any project to read the full case study, with the architecture, product decisions, and screenshots behind it.

AI Projects
Live Products
04

What's next

Over the coming months I plan to expand these case studies with more architecture diagrams, product artefacts, metrics, and the decisions behind each build, as these products continue to evolve.