Spec Driven Development for Non Developers Training in Spain

Spec Driven Development for Non Developers is designed for professionals who want a practical and repeatable way to turn product ideas into clearer, structured definitions using spec-driven development and AI tools.

Participants learn how to take an early-stage or loosely defined product concept and develop it into a structured specification that AI tools can interpret to generate consistent, high-quality product artefacts.

Through demonstrations, guided exercises, and practical workflows, the course explores how clarity, structure, and constraints affect the quality of AI-generated results. Rather than relying on one-off or unstructured prompting, participants learn a more disciplined approach for producing user flows, user stories, acceptance criteria, and task breakdowns with greater consistency and alignment.

By the end of the day, participants will have:

• A structured product specification developed from an initial product idea,
• A collection of AI-generated product artefacts aligned with that specification,
• A repeatable workflow for reviewing, refining, and improving generated outputs,
• Practical techniques for reducing ambiguity and creating stronger product definitions.

Participants should have:

• A basic awareness of AI tools,
• Experience working with product requirements, user stories, or business analysis.

No coding experience is required.

This course is particularly suitable for:

• Product Managers who want greater clarity and consistency in product definition,
• Product Owners responsible for backlog quality and delivery readiness,
• Business Analysts moving towards product-focused roles,
• Professionals who use AI tools to support product or requirements-related activities.

By completing this course, participants will be able to:

• Distinguish between unstructured prompting and specification-first approaches,
• Create clear, lightweight product specifications that AI tools can interpret reliably,
• Generate and assess core product artefacts with AI tools,
• Apply the SPTI (Specify, Plan, Tasks, Iterate) workflow within a product context,
• Recognise and correct misalignment in AI-generated outputs,
• Improve consistency, traceability, and quality during early-stage product work.

Introduction

• Welcome, course context, and objectives
• Review participant goals and expectations
• Introduction to the spec-driven approach

Module 1: Foundations of Spec-Driven Thinking

This module examines common issues with unstructured prompting and introduces specification-led thinking as a more disciplined approach.

• Common problems caused by vague or unstructured prompts
• How structure and constraints influence AI-generated outputs
• The role of specifications in reducing ambiguity
• Demonstration: Compare results from unstructured and structured inputs

Module 2: Writing Effective Product Specifications

Participants learn how to create lightweight, practical specifications that allow AI tools to interpret product intent more reliably.

• Core components of a lightweight product specification
• Define scope, user needs, flows, and constraints
• Write acceptance criteria that support reliable outputs
• Use templates to standardise how product intent is expressed

Module 3: Spec-Kit Demonstration – From Specification to Artefacts

This module demonstrates how a structured product specification can be transformed into practical product artefacts using Spec-Kit.

• Live walkthrough of entering a structured specification into Spec-Kit
• Generate core product artefacts:
  • User flows
  • User stories
  • Acceptance criteria
  • Task breakdowns
• Understand traceability between the original specification and generated outputs
• Identify gaps and inconsistencies within generated artefacts

Module 4: Applying the SPTI Workflow in Practice

Participants apply the SPTI approach to turn specifications into actionable product work and use AI tools in a more systematic workflow.

• Introduction to the SPTI loop: Specify, Plan, Tasks, Iterate
• Translate specifications into actionable product work
• Use AI tools to support backlog structuring and refinement
• Generate test scenarios to validate product intent

Wrap-Up and Reflection

The course concludes with a review of the methods and workflows covered during the day, giving participants an opportunity to consider how spec-driven practices can be applied within their own product and requirements processes.