
Course Overview
Target Audience: Non-technical founders, digital leaders, and business executives navigating complex technology decisions.
Core Objective: Cut through jargon and technical noise to evaluate tech options, lead engineering teams, and make strategic decisions with confidence.
Instructor: Andrew Mugoya, a technology veteran with 25 years of experience across investment banking, consulting, and startups, working with organizations like Goldman Sachs, JP Morgan, and the UK Government.
This module helps non-technical founders, managers, and leaders demystify technology and move away from jargon toward making practical, effective tech decisions.
It breaks down technology management into five critical questions designed to help evaluate if a solution is fit for purpose and scalable:
What problem are we actually solving? Reframing technical requirements (like moving to the cloud or rewriting old code) into measurable user and business problems.
Build, Buy, Outsource, or Use AI? Evaluating the best execution strategy based on competitive advantage, intellectual property, speed, and cost.
When do you need a tech team? Identifying when to hire key roles (such as Full-Stack Engineers, Product Managers, CTOs, and Engineering Leads) across different growth stages.
How do you ensure the solution is robust and scalable? Testing platform performance using the 10x Customer Test, Traffic Spike Test, and Team Growth Test.
What do your stakeholders actually want to see? Understanding the specific metrics and priorities that matter to customers, investors, regulators, and internal teams.
This module provides a non-technical overview of how technology systems are structured, hosted, and evaluated.
Across five sections, it breaks down tech architecture into accessible concepts, covering:
Monolith vs. Microservices: The trade-offs between building one unified system versus multiple independent services.
Cloud vs. On-Premise Hosting: Where applications run, who manages the infrastructure, and the associated cost structures.
The Tech Stack: The four primary layers of an application - front end, back end, database, and integrations.
Reading Technical Diagrams: Five key elements to look for when analysing system architecture diagrams.
Technology Red Flags: Eight warning signs indicating critical gaps in system security, compliance, documentation, or team operations.
This module provides a guide for non-technical founders and digital leaders on how to build, lead, and retain a high-performing technical team.
Key Takeaways
Evaluating Technical Candidates: Look beyond vanity metrics and focus on five essential qualities: clear communication without jargon, practical problem-solving, strong ownership of both successes and mistakes, business awareness, and a proven track record of shipping products.
Effective Interviewing for Non-Technical Leaders: Ask questions that probe for ownership, audience awareness, constructive pushback, and a focus on business outcomes rather than just technical implementation.
Leading & Managing Engineers: Manage teams autonomously by leading with desired outcomes, protecting dedicated focus time from constant interruptions, asking open questions, and creating a safe environment to surface and address technical debt.
Structuring the Team: Align hiring decisions with the company's growth stage:
Experimentation/MVP Stage: Prioritise full-stack generalists to iterate quickly.
Early Traction Stage: Begin integrating product management to align user feedback with development.
Growth & Scaling Stage: Bring in a CTO for strategic vision and an engineering lead to manage expanding team structures.
Retaining Technical Talent: Keep top engineers engaged by offering meaningful work, high autonomy, adherence to modern technical standards, clear recognition, and structured career growth paths.
This module guides you through evaluating, selecting, and managing third-party technology vendors.
It covers vendor types, comparison frameworks, sales due diligence, system integration levels, and total cost calculation.
Vendor Types: Learn to distinguish between SaaS, PaaS/IaaS, Enterprise Software, and Open Source options based on control, convenience, and technical resource needs.
Evaluation Framework: Compare vendors across core fit, engineering effort, business stability, total cost, and roadmap alignment.
Sales Pitch Due Diligence: Cut through marketing claims by requiring live custom demos, sandbox testing, API documentation, and independent customer references.
Integration Realities: Analyse four levels of system connection (link, data sync, real-time API, and deep embed) along with their associated risks, build times, and maintenance demands.
Total Cost of Ownership (TCO): Calculate multi-year expenses by combining direct licensing fees with indirect costs like setup, integration labor, training, maintenance, and vendor switching.
This module provides a framework for founders and digital leaders to effectively communicate their technology to key stakeholders, including board members, clients, and investors.
Key Topics Covered:
Understanding Stakeholder Priorities: How board members, clients, and investors evaluate technology and what key areas they focus on.
Translating Tech into Plain English: Strategies to eliminate jargon and clearly explain complex architectures without oversimplifying or over-hyping.
The Tech Narrative Template: A structured four-part framework (Problem, Solution, Build Decision, Scale Story) to present tech clearly.
12 Stakeholder Red Flags: Common pitfalls, such as denying technical debt, poor code control, or lack of IP clarity, that raise concerns for stakeholders and how to address them.
Credible Roadmap Presentation: How to structure future technology plans into "Now, Next, and Later" phases while highlighting trade-offs, dependencies, and risk management.
This module provides founders and digital leaders with practical frameworks to evaluate, scale, and present their technology effectively as their business grows.
Key Learning Objectives & Topics Covered:
Quick Tech Health Assessment: Evaluate your technology's baseline health across four critical pillars (reliability, performance, maintainability, and security) to identify risks before they become critical issues.
Rebuild or Improve: Learn how to analyse key operational signals, including delivery speed, technical debt costs, scalability limits, team confidence, and business context, to decide whether to refine your existing platform or rebuild from scratch.
Stress-Testing for Scale: Apply three essential tests (the 10x Customer Test, Traffic Spike Test, and Team Growth Test) to discover system breaking points, vulnerabilities, and the costs required to mitigate growth risks.
Managing Growth-Stage Tech Risks: Identify and prioritize changing technical risks and key metrics across the three core stages of business growth: Experimentation/MVP, Early Traction, and Scaling.
Board-Ready Tech Roadmaps: Master how to communicate technical strategy and roadmaps to non-technical stakeholders and boards by framing initiatives around business outcomes, risk mitigation, logical decision-making, and return on investment (ROI).
You do not need to learn how to code to lead technology. But you cannot afford to nod along in meetings you do not understand.
As a non-technical founder, executive, or digital leader, you are expected to make high-stakes technology decisions every week: Should we build or buy? Is our architecture scalable? Do we need a full-time CTO? Why is our vendor quote three times higher than expected?
The common trap is relying entirely on developer jargon, agency sales pitches, or conflicting advice from technical teams. Getting these decisions wrong burns months of runway, builds crippling technical debt, and leads to painful board and investor reviews.
This course gives you the strategic frameworks, vocabulary, and decision models you need to lead technology conversations with clarity, authority, and confidence.
Meet Your Instructor
Taught by Andrew Mugoya, Founder and Principal at Strawpath:
25+ years in technology strategy, software architecture, and investment banking across London and global hubs.
Former senior technologist and advisor at Goldman Sachs, JP Morgan, Barclays, and Smart Pension, advising enterprises including Charity Bank, PepsiCo, and the UK Government.
Architected and scaled fintech platforms transacting over £5B+, and advised startups that have collectively raised £300M+.
Mastercard Lighthouse Expert Advisor, Oxford MSc in Computer Science, and angel investor (WealthOS, acquired by JPMorgan Chase).
What You Will Learn
By the end of this course, you will be able to:
Reframe technical choices around business outcomes: Confidently decide between Build, Buy, Outsource, or AI using a structured decision matrix.
Read architecture diagrams like a leader: Understand cloud versus on-premises, monoliths versus microservices, and how data actually flows between systems.
Spot the 8 warning signs of technical debt: Recognise architectural red flags before they derail your product or alarm investors.
Hire and lead technical teams without writing code: Know the exact interview questions that reveal senior technical competence, and structure teams for delivery and retention.
De-risk vendor selection and cut through sales pitches: Calculate realistic Total Cost of Ownership (TCO) and evaluate third-party integrations with clear criteria.
Present technology to boards, investors, and clients: Tell a credible, plain-English technology narrative that secures buy-in and builds trust.
Scale without breaking your business: Audit platform health and decide objectively whether to refactor, patch, or rebuild.
Who This Course Is For
Non-technical founders, CEOs, and managing directors leading tech-enabled businesses.
Product managers, commercial directors, and heads of department who work alongside software engineering teams.
Investors, board members, and non-executive directors who need to evaluate tech roadmaps and assess architecture risk during due diligence.
Consultants and digital transformation leads advising organisations on technology adoption.
The Toolkit (Included Downloads)
The Build vs Buy vs Outsource vs AI Decision Framework
Total Cost of Ownership (TCO) Vendor Comparison Calculator
Technical Hire & CTO Interview Guide (Non-Technical Leader Edition)
The Plain-English Technology Narrative Template for Boards & Investors
Platform Health & Architecture Risk Audit Scorecard