Smart Learning Platform:
From Zero to a Ready Product Plan
Hours
Weeks
Expert Team
Client Background
The client is a Europe-based researcher working at the intersection of digital transformation, learning systems, and human decision-making. Their work focuses on data-driven analysis and the design of learning courses and programs that help people and organizations navigate complexity and adapt to change.
Success Metrics
From complexity to clear decisions. Clarity, speed, and predictability — without assumptions.
faster skill gap analysis
data-driven learning paths
reduction in learning program design time
development scope, timeline, and cost estimated upfront
Client Challenge
Our client approached devPulse with an idea for a web platform that would help organizations identify skill gaps in trainees and automatically generate personalized learning plans using AI.
At the early stage, the client had a strong vision of the product’s value but lacked a clearly defined evaluation algorithm. There was limited clarity around the project’s scope, functionality, and technical implementation, as well as no clear understanding of the development cost, timeline, or iterations.
The main challenge was to turn a high-level idea into a structured, feasible, and cost-transparent product plan while minimizing risks before development.
Our Approach
We approach product discovery as a structured validation process — not a brainstorming exercise. Our goal is to remove uncertainty early, align business goals with user needs, and transform complex AI-driven ideas into clear, actionable product plans. Instead of jumping into development, we begin with a focused Discovery Phase designed to test assumptions, define boundaries, and reduce technical and business risks before any code is written.
Understanding business goals and user needs.
Defining core functionality and system boundaries.
Defining and validating the evaluation algorithm.
Evaluating technical feasibility and scalability.
Preparing clear documentation for the development phase.
Developing an AI-Based Evaluation Algorithm
One of the most exciting parts of the discovery phase was the design of the AI-powered evaluation algorithm used to identify trainee skill gaps and generate personalized reports.
At the early stage, the evaluation logic did not exist and had to be designed from scratch. Our team approached this as an iterative process, working closely with the client and a highly experienced AI engineer to continuously refine and expand the algorithm’s capabilities.
The algorithm was developed across multiple iterations and focused on:
Mapping trainee responses to required skills and proficiency levels.
Analyzing structured and unstructured interview data.
Identifying skill gaps based on role-specific competency models.
Producing actionable insights that could be translated into learning plans.
Discovery Phase Execution
Achievements & Highlights
From insight to impact — with measurable results. Focused on outcomes that move products forward.
from idea to product-ready plan in 6 weeks
AI evaluation algorithm
scalable, cloud-ready system architecture designed for AI-driven analysis
3 delivery phases defined
Results & Business Value
By completing the Discovery Phase, the client gained:
All core features, user roles, and system capabilities were clearly defined, eliminating ambiguity and misaligned expectations.
Designed, iterated, and tested to ensure meaningful and reliable skill gap analysis.
The product roadmap was structured into clear phases, helping prioritize features and deliver value incrementally.
Wireframes, user story map and architectural diagrams provided a tangible view of how the platform would look and function before development began.
Early validation of assumptions and technical decisions minimized the risk of costly changes during the development phase
The client received a detailed estimation that outlined budget, timelines, and required resources, enabling informed planning and decision-making.
Instead of moving forward with uncertainty, the client received a validated roadmap and was fully prepared to enter the development phase with confidence.
Why Discovery Phase Matters
At devPulse, we believe that successful development starts long before the first line of code.
Discovery replaces assumptions with clarity.
It helps teams define what to build, why it matters, and how it can realistically scale — before time and budget are committed.
By aligning vision, technology, and business goals early, the Discovery Phase reduces risk, prevents rework, and sets a clear direction for development.
This case demonstrates how a structured discovery phase helps transform a complex AI-driven idea into a clear, actionable, and scalable product plan.
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