AI-Powered Lead Scoring & Workflow Automation for SaaS

Author: Regis Nde Tene (Chopinregis)

Status: Draft

Duration: 1 Week Deep Dive

Executive Summary

This project simulates developing an AI-powered lead scoring and workflow automation feature for a B2B SaaS CRM platform. It involves defining a product roadmap, designing workflow-driven software incorporating AI, and collaborating across functions to build a data-intensive system focused on improving sales efficiency in an early-stage environment. The project integrates CRM/RevOps understanding with practical AI product development.

Key Skills

Project Execution Log

Stage 1: Define Product Vision & User Personas

This stage established the foundational 'North Star' for our AI-powered lead scoring project. We defined a clear product vision that articulates *what* we're building and *why* it matters, and developed detailed user personas to understand *who* we are building it for. This critical upfront work ensures our development efforts are focused, aligned with business goals, and truly solve the pain points of our target users.

Deliverables

Stage 2: Design AI-Driven Lead Scoring Algorithm

Deliverables

Stage 3: Prototype Workflow Automation in CRM

Deliverables

Stage 4: Develop Data Pipeline & Feature Integration

Deliverables

Stage 5: Simulate A/B Testing & Refine Model

Deliverables

Stage 6: Define Go-to-Market Strategy & Roadmap

Deliverables