Building a Corporate Training Platform with AI Assessments

The Challenge

The business had outgrown its own infrastructure. The website went down during peak traffic, the CRM could not handle the volume of new contacts, and internal reporting took two weeks to compile. Something had to change before the next growth phase.

Our Approach

Research, Analysis, and Strategic Foundation

• Audited the existing tech stack and identified 14 gaps that needed fixing before anything else could work
• Designed an architecture that could handle 10x the current load without a rewrite
• Created an implementation roadmap in three phases, starting with the changes that would show results within 60 days

Design, Development, and Implementation

• Built the core platform features, prioritizing the ones users asked for most
• Set up analytics so the team could see what was happening in real time instead of waiting for monthly reports
• Automated the repetitive workflows that were eating 15+ hours per week
• Connected the separate systems into one data pipeline so every team worked from the same numbers

Launch, Optimization, and Scale

• Launched acquisition campaigns on the two channels that testing showed worked best
• Built automated email sequences that moved prospects forward based on what they clicked and downloaded
• Set up a referral program that rewarded existing customers for bringing in new ones
• Created a content strategy targeting the specific search terms that potential buyers were using

Key Takeaways

1. Shortcuts in the codebase from year one cost us three months of rework in year two. Spending an extra week on architecture early would have saved far more time.
2. Starting in one market segment instead of three kept the budget focused and gave us real data to work with before expanding. The temptation to go broad early is strong, but the results argue against it.
3. The single biggest ROI came from fixing the user experience. Removing two unnecessary steps from the signup flow improved every downstream metric.
4. The teams that measured everything iterated twice as fast as the ones running on gut feeling. Setting up proper tracking before launching campaigns made all the difference.
5. Growth worked best when marketing and product shared the same goals. Treating acquisition and retention as separate problems led to conflicting priorities.

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