Category Archives: microservices

Elixir in times of microservices

Since microservices have been a common topic lately, there are a lot of questions about how Elixir fits in microservice architectures. On this post, I won’t focus on the merits of microservices, as many have already discussed that to exhaustion. In particular, Martin Fowler’s entry on the topic aligns well with my thoughts and is … »

My Answers for Microservices Awkward Questions

Earlier this year, Ade published Awkward questions for those boarding the microservices bandwagon. I think the list is pretty solid, and (with a small push from Ade) I decided to write concise details on my experience. I think it’s reasonable to start …

Organizing microservices in a single git repository

Microservices has gained popularity recently and some projects I’ve worked on had followed this approach. Basically, it’s an approach of software architecture that allows breaking monolithic applications into smaller decoupled, business-oriented and isolated deployable applications. Each microservice normally is hosted in its own git repository, since it has very defined business boundaries and the code … »

Estimating versus Timeboxing, part 1

June 10, 2009

As if delivering projects wasn’t hard enough. Delivering projects on time is even harder. As practitioners, we’re all responsible for measuring up the obstacles in front of us and are accountable to those measurements. At least, we should be.

One of those measurements is time. Time is a funny thing. People have a lot of interesting things to say about time. Some say that it’s one of the most valuable things that we have… but I’ll avoid diving into a philosophical discussion for now.

What I wanted to talk about was project estimation. Specifically, estimates for deliverables. For the past several years, our team has put a lot of effort into becoming more accurate in our time estimating skills. Despite analyzing how often we over and/or underestimate the time each of us believes it’ll take to complete a task, we find ourselves coming back to the drawing board.

A few things that we’ve learned.

Tasks that we believe will take a few days/week/more to complete are often underestimated
Tasks that we believe will take less than a few hours are often more accurate or overestimated
Too many tasks were completed with a bigger budget than was necessary (lower ROI)
A lot of time was spent working on requirements refining to get better estimates

When we began to step back from this and look for patterns, we found that several of the tasks that we would budget hours for (versus estimate hours for) were proving to be more accurate. This approach is most commonly known as timeboxing. With timeboxing, we can place a dollar value on a specific task and work within that constraint. For example, with our clients, both parties can come to the conclusion that, “we believe that it’s worth up to $800 to implement this new functionality.” With that, we’re able take that dollar amount and figure out how many hours to box ourselves within.

The underlying question to our client with each change/feature request is, “How valuable is this to your business at this point in time?” Whereas, with a typical approach to time estimates, a client comes to you with a list of changes/features and you provide them with time estimates. “We estimate that it’ll take 6 hours at $200/hour for feature X and we’d do it like this…” The client will have to evaluate your estimate and figure out if it’s worth $1200 and make a decision. They can respond with, “no, that’s too expensive, can we do it for less?” The following steps would entail your team trying to find ways to reduce your estimate.

While these two paths might seem very similar, it’s been my experience that the standard approach to estimating takes more time for negotiating the terms of the agreement.

However, with timeboxing, you are asking your client to provide you with an initial budget. This will completely change how you respond to the feature request. When you have a timebox, from the moment that you begin to evaluate the request, your brain will add the necessary constraints to keep things within scope.

Through this process, we’ve revamped our estimating process so that as we’re building our iteration costs for clients. For each deliverable, we break down a series of objectives/tasks and apply timeboxes to each of those while knowing what the budget is for the deliverable as a whole. Usually, the deliverable is directly related to the request that came from our client with a budget. The process is completely transparent and our team is responsible for working within those constraints.

..and as we’ve learned from Ruby on Rails, constraints can be extremely beneficial.

While I don’t have all the answers yet, my goal is to share some of my experiences and lessons on the topic. I’d love to hear about how you’re adopting timeboxing in your project planning and estimating process.

Anyhow, just some thoughts that I wanted to share. More to come…

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