This episode is part of a wider mini-series looking at Estimation in Software Development.

In this episode, I ask the question, is AI the answer?

Following on from the episodes on Qualitative and Quantitative approaches, it's easy to see there are pros and cons to individual practices. And realistically, it feels like you will need a blend of various approaches to create truly valuable estimates.

But, this all seems like a lot of work and investment, a lot of training, tools and time to achieve. And even more so to iteratively improve to nudge towards those valuable estimates.

As I'll say many times in this series, producing estimates costs. Producing valuable estimates costs a lot.

Thus, it doesn't take much of a leap of logic to ask the question, can AI help us here?

In an ideal world, there would be an AI-powered tool that would just do the work for us. Thus, I explore how such a tool could come into being, and probably more importantly, why I doubt it will happen any time soon.

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Find this episodes show notes at: https://red-folder.com/podcasts/203

Have an idea for an episode topic, or want to see what is coming up: https://red-folder.com/podcasts/roadmap

This episode is part of a wider mini-series looking at Estimation in Software Development.

In the last couple of episodes, I've looked at a number of methods that fall under the Qualitative approach to software estimation.

Qualitative estimation is predominantly based on expert judgment, some think based on subjective thought process.

In this week's episode, I want to move on to discuss some Quantitative estimation approaches.

While Qualitative estimation is predominantly based on expert judgement, Quantitative is based on something we can count or calculate, a use of statistical analysis based on historical data.

In this episode, I specifically want to discuss two quantitative techniques - Monte Carlo simulations and Statistical PERT (or SPERT for short).

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Find this episodes show notes at: https://red-folder.com/podcasts/202

Have an idea for an episode topic, or want to see what is coming up: https://red-folder.com/podcasts/roadmap

This episode is part of a wider mini-series looking at Estimation in Software Development.

In last week's episode, I looked at a number of methods that fall under the Qualitative approach to software estimation.

Qualitative estimation is predominantly based on expert judgment, something based on subjective thought process.

In this episode I wanted to take a specific look at another method I personally consider a qualitative approach

But it's so different to those discussed in the last episode, I felt it needed its own, the #NoEstimate approach

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Find this episodes show notes at: https://red-folder.com/podcasts/201

Have an idea for an episode topic, or want to see what is coming up: https://red-folder.com/podcasts/roadmap