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As tech leaders, we often find ourselves at a crossroads, pondering over crucial decisions like:
- Should we build solutions in-house or hire an external vendor?
- What tools, programming languages, or frameworks should we invest in?
- Or how do we choose between a costlier option that promises better outcomes over a more budget-friendly one.
If you’re feeling a bit lost or uncertain about how to tackle these decisions, you’re definitely not alone.
Making smart tech decisions — those that minimize costs while maximizing profits for our organization — can feel like trying to find your way through a labyrinth. There are various factors to weigh and often multiple routes that could lead to what you consider the best result.
In this talk, we’re going to explore a framework for evaluating the return on investment (ROI) of complex tech decisions, illustrated with real-world examples that highlight both the traps to avoid and the paths to success. I’ll share methods for pinpointing key metrics that matter, and how to design experiments or proof-of-concepts to measure ROI. Finally we will discuss the importance of staying objective and adaptable throughout the process.
You will leave this talk equipped to navigate the complexities of tech decision-making with confidence, ensuring your choices align with your strategic goals and deliver tangible value.
