Its a fact of life. We can't test everything. We can't even test a subset of everything. What we can do is provide feedback and give our opinion on areas that may be the most important. In short, we can communicate risk and that's the key takeaway of Jeny Bramble's talk. By the way, if you are not here, you are missing out on Dante, the deuteragonist of this presentation (Dante is Jenny's cat ;) ).
Jenny points out that risk has a variety of vectors. There's a technical impact, a business impact, and a less tangible morale impact. When we evaluate risk, we have to determine how that risk will impact us. What is the likelihood that we will experience failure in these scenarios? I often have these discussions when it comes to issues that I find. Rather than just come out and say "this is a bug!", instead, I try to determine a consensus of how bad this issue might be. This is often done with discussions with our product owner and asking questions like "if our customers were to see this, what would your impression be?" I likewise have similar discussions with our developers and often, just asking questions often prompts people to look at things or to have them say "hey, you know what, give me a couple of hours to harden this given area".
Risk isn't always limited to the feature you are developing at the given moment. A timetable changing is a risk. Third party interactions can increase risk, sometimes considerably. If your infrastructure is online, consider where it is located (Jenny is from North Carolina and as many are probably aware, we recently had a hurricane sweep through that made a mess of Eastern North Carolina. Imagine if your co-lo was located there.
Ultimately, what it comes down to is being able to perform an effective risk assessment and have a discussion with our teams about what those risks are, how likely they are to happen, and ultimately how we might be able to mitigate those risks.
Jenny has a way of breaking down a risk matrix to make it a numerical value. By looking at the level of likelihood with the level of impact, multiply the two numbers and that gives you the risk factor. A higher number means higher risk and higher efforts to mitigate. Lower values mean lower risk and therefore lower cost to mitigate.
"This feature has been drinking heavily and needs to go to rehab!" Best. Risk. Based. Metaphor. Ever (LOL!).
This is my first time seeing Jenny present, though I see her comments on Twitter frequently. If you haven't been to one of her presentations, may strongly suggest that, should she be speaking at a conference near you, that you make a priority to see her speak? Excellent, my work here is done :)!