Skip to main content

Managing to Test


Earlier in the year Lena Wiberg posted an interesting challenge on Twitter: 

I would like to pair up with other writers and do a series of pair blog posts. So we agree on a topic, we both write a post on our own blogs and publish at the same time. 2 perspectives for 1 topic! Any takers?

Swaps are fun, so I signed up and Lena asked me for a topic. After some consideration I proposed "testing skills I use in management" for the selfish reasons that I'm interested to hear what she has to say on it and also to collect thoughts that I've had over the years into one place. 

--00--

I spent quite some time early in my managerial career observing how I went about my work, finding what I liked and what I didn't, and deciding what my guiding management principles appeared to be and should be. This is what I came up with:
  • Be clear and present
  • Be congruent 
  • Provide motivation, organisation, information, and the occasional jiggle.

To gloss these a little, I want to:
  • be open about what I think, what I will do, and why; be available, approachable, and responsive (see e.g. Clear and Present Manager)
  • in any situation, take into account the interests of the people involved, myself, and the wider context (see e.g. What Did You Say? in Book Notes)
  • try to find ways of working that suit the team and the task (see e.g. Naomi Karten's MOI paper)

When I cast it this way, management skills and testing skills don't seem so far apart. In both cases I want to gather data and understand something about where it came from, when, how, and so on. I then want to integrate it with other data I have from other sources and decide where I should go next. I want to think about how I'm working, be transparent about why, and open to suggestions for change. I want to be prepared to explain the reason for actions I've taken, and to take those actions in a balanced way.

Let's look at an example. As a manager, I am regularly criticised by members of my team. Amongst other things I'm sometimes accused of being overly logical or too analytical. The subjective nature of "overly" and "too" give me leeway to dismiss this assessment as a matter of degree, viewed from a jaundiced perspective, should I choose to. But I don't choose to; instead I regard it as data. (And, yes, I am aware of the potential irony there.)

It's valuable information when someone on the team is feeling sufficiently strongly to tell me to my face that I have the wrong take on an issue. (Aside: finding out that someone is saying it to others but not me is also valuable, but different.) I will always by default respect it as given honestly with good motivation. 

For me, this is data from a known source in a particular context and is to be integrated with other data from other known sources in their particular contexts. Other sources include me and the team and the company, and other contexts include mine and the team's and the company's. 

I am likely to want to ask questions to try to understand what is beneath an observation which is critical of me. (The data question, due to Jerry Weinberg e.g. Perfect Software is "What did you see or hear ... that led you to that interpretation?") I think that, over the years, I have got better at doing it in a way that is both non-judgemental and non-defensive and, crucially, comes across that way too.

On any given issue, I will want to give individual pieces of data different weights depending on the context they come from and the problem at hand.

But, and this is a big one, the kind of data gathered this way is rarely quantifiable. It's usually messy and incomplete and it's often tangled up with other issues in complex and non-visible ways. We are human, after all. 

This feels a lot like testing to me.

In testing, I find, data comes from all sorts of disparate sources with different motivations, including the stated requirements, the market conditions that make these requirements relevant now, the level of understanding of the problem we're solving for the customer, the informal conversations with stakeholders, the developer's personal opinions on the approach requested and their personal preferences, the technology stack's prejudices, what the software tells you when you engage with it, and so on and so on.

How do I, as a tester, balance this data? I use critical thinking and heuristics based on experience and social interaction and investigation and research and modelling and empathy and pragmatism and numerous other skills. My overriding aim is that of pursuing relevant incongruity, by which I mean helping the project to be the best that it can be within the known constraints that it has, by targeting my efforts and finding issues and potential issues that threaten it. 

And as a manager? Well, in all honesty, this is how I approach management problems too. 

So where is the difference between being a manager and a (cough) individual contributor? For me, I think it's in the degree of responsibility for people and wide-scope decisions. As a manager there are many bucks that stop with me which intimately involve other people whose happiness, career, and actions I'm responsible for.  As a tester I'm generally only responsible for my own decisions and actions.  

See also:
--00--

Testing Skills I Use in Management is Lena's post on the same topic over at her blog. We agreed to swap comments too, so you can find mine with her piece, and her thoughts on what I said here:

I did what I shouldn’t and instinctively messaged James after reading with: “So interesting! Completely different takes!” Funny enough, he thought we had come  to very similar conclusions. Which of course had me read his comment before writing this, thus influencing me. So, I cannot write a completely unbiased comment. But  on the other hand I can now try to analyse why I felt we had so different takes while James felt we ended up so alike.

First of all, I haven’t known James long. And I’ve mostly gotten to know him through his blog posts, his twitter and through our work on board for the Association for Software Testing. My view of  him has been that he is very calm, methodical, well spoken (and written) and with a great sense of humour. I have gotten a lot of inspiration from his blog posts in my own writing and I have very much appreciated our discussions both in real life and online. 

When I read his post my gut reaction was that ours were completely different but analysing it a bit more I can see why James feels we ended up in the same place. Because we did, just by different routes. I write a lot about feelings, James writes a lot about data - our conclusion however seems the same: A lot of skills from testing are definitely transferable to managing. Reading our posts it is clear to me that the way we used to approach testing probably spilled over to how we chose to approach management.  I can see that we have the same goal, we care about the same things but the road we would choose would probably look completely different. Thank you so much James for giving me your perspective!

Popular posts from this blog

Meet Me Halfway?

  The Association for Software Testing is crowd-sourcing a book,  Navigating the World as a Context-Driven Tester , which aims to provide  responses to common questions and statements about testing from a  context-driven perspective . It's being edited by  Lee Hawkins  who is  posing questions on  Twitter ,   LinkedIn , Mastodon , Slack , and the AST  mailing list  and then collating the replies, focusing on practice over theory. I've decided to  contribute  by answering briefly, and without a lot of editing or crafting, by imagining that I'm speaking to someone in software development who's acting in good faith, cares about their work and mine, but doesn't have much visibility of what testing can be. Perhaps you'd like to join me?   --00-- "Stop answering my questions with questions." Sure, I can do that. In return, please stop asking me questions so open to interpretation that any answ...

How do I Test AI?

  Recently a few people have asked me how I test AI. I'm happy to share my experiences, but I frame the question more broadly, perhaps something like this: what kinds of things do I consider when testing systems with artificial intelligence components .  I freestyled liberally the first time I answered but when the question came up again I thought I'd write a few bullets to help me remember key things. This post is the latest iteration of that list. Caveats: I'm not an expert; what you see below is a reminder of things to pick up on during conversations so it's quite minimal; it's also messy; it's absolutely not a guide or a set of best practices; each point should be applied in context; the categories are very rough; it's certainly not complete.  Also note that I work with teams who really know what they're doing on the domain, tech, and medical safety fronts and some of the things listed here are things they'd typically do some or all of. Testing ...

The Best Programmer Dan Knows

  I was pairing with my friend Vernon at work last week, on a tool I've been developing. He was smiling broadly as I talked him through what I'd done because we've been here before. The tool facilitates a task that's time-consuming, inefficient, error-prone, tiresome, and important to get right. Vern knows that those kinds of factors trigger me to change or build something, and that's why he was struggling not to laugh out loud. He held himself together and asked a bunch of sensible questions about the need, the desired outcome, and the approach I'd taken. Then he mentioned a talk by Daniel Terhorst-North, called The Best Programmer I Know, and said that much of it paralleled what he sees me doing. It was my turn to laugh then, because I am not a good programmer, and I thought he knew that already. What I do accept, though, is that I am focussed on the value that programs can give, and getting some of that value as early as possible. He sent me a link to the ta...

Reasonable Doubt

In Your job is to deliver code you have proven to work  Simon Willison writes: As software engineers we ... need to deliver code that works — and we need to include proof that it works as well.  He is coming at this from the perspective of LLM-assisted coding, but most of what he says applies in general. I think this is a reasonable consise summary of his requirements for developers: Manual happy paths: get the system into an initial state, exercise the code, check that it has the desired effect on the state. Manual edge cases: no advice given, just a note that skill here is a sign of a senior engineer.  Automated tests: should demonstrate the change like Manual happy paths  but also fail if the change is reverted.  He notes that, even though LLM tooling can write automated tests, it's humans who are accountable for the code and it's on us to "include evidence that it works as it should." Coincidentally, just the week before I read his post I told one of my...

Notes on Testing Notes

Ben Dowen pinged me and others on Twitter last week , asking for "a nice concise resource to link to for a blog post - about taking good Testing notes." I didn't have one so I thought I'd write a few words on how I'm doing it at the moment for my work at Ada Health, alongside Ben. You may have read previously that I use a script to upload Markdown-based text files to Confluence . Here's the template that I start from: # Date + Title # Mission # Summary WIP! # Notes Then I fill out what I plan to do. The Mission can be as high or low level as I want it to be. Sometimes, if deeper context might be valuable I'll add a Background subsection to it. I don't fill in the Summary section until the end. It's a high-level overview of what I did, what I found, risks identified, value provided, and so on. Between the Mission and Summary I hope that a reader can see what I initially intended and what actually...

Great Shot, Kid

This week I've been playing with altwalker , a model-based testing tool. To get the hang of it, I attempted to build a very simple model of a workflow that is supported by the service my team owns. Hacking away at the example code, and looking frequently at the docs, I was able to get up and running in a few hours, creating: a basic model: nodes for system states, edges for operations simple assertions: mainly consistency checks on the states client: HTTP client to implement the operations against the service's API I configured this so that altwalker will perform a random walk of the model, starting state data is randomised, and the client will choose randomly whenever offered an option. Why so much randomness? Because it means that, over successive runs, more of the infinite space of possible workflow executions will be covered. Once I had that basically working I wrote a shell script that would run this loop a number of times: call altwalker ...

LLEWT 2024

This weekend I was at LLEWT 2024, a peer conference on Anglesey , north Wales, discussing communication. Given the day jobs of the participants, it was no surprise that the experience reports and the conversations that followed them mostly focussed on software development contexts.  Notes from my presentation are in Express, Listen, and Field . I made sketchnotes (below) for each presentation and a mindmap (above) to try to summarise the whole. Without much reflection yet, I guess I would pull these common high-level threads from the day: There are multiple reasons that communication fails  ... like, duh! ... but having multiple strategies for framing a message can help ... and having multiple tactics for delivering a message can help too. Understanding what you want from an interaction is key ... so setting the context to make that more likely is wise ... which might mean meta-conversation, being transparent, or changing your approach...

Exploring It!

This week the test team at Linguamatics held our first internal conference. There was no topic, but three broad categories could be seen in the talks and workshops that were given: experience reports, tooling, and alternative perspectives on our work. (The latter included the life cycle of a bug, and psychology in testing.) My contribution was an experience report looking at how I explore both inside and outside of testing. I've tidied up some of my notes from the prep for it below. There are testing skills that I use elsewhere in my life. Or perhaps there are skills from my life that I bring to testing. Maybe I'm so far down life's road that it's hard to tell quite what started where? Maybe I'm naturally this way and becoming a tester with an interest in improvement amped things up? Maybe I've so tangled up my work, life, and hobby that deciding where one starts and another ends is problematic? The answers to those questions is, I think, almost certai...

PR Coup!

My team uses Dependabot to keep software dependencies up to date. The tool submits PRs against our repositories and we use a checklist/decision tree to help us judge how deeply to review and provide an audit trail of the decision. Patch-level updates of company-internal packages might be just waved in if the tests pass, for example, but a major update of an external library could require us to review or redo a risk analysis. For reasons , the Markdown source for the tree is not automatically added to the PR so we pick it up from another repo, copy it, and paste it into the PR we're looking at. This has got sufficiently irritating to me that I looked for another way. I know about bookmarklets and I've made them before, so I first tried to make one that would paste the text into a comment box on the PR. The checklist is long and I needed to escape various characters and retain line breaks and it was tricky to edit and debug in a simple URL field, so I aborted. I wondered if the...

Exploratory Tooling

Last week I started a new job. The team I've joined owns a back-end service and, along with all the usual onboarding process, inevitable IT hassles, and necessary context-gathering, one of my goals for my first week was to get a local instance of it running and explore the API. Which I did. Getting the service running was mostly about ensuring the right tools and dependencies were available on my machine. Fortunately the team has wiki checklists for that stuff, and my colleagues were extremely helpful when something was missing, out of date, or needed an extra configuration tweak. Starting to explore the service was boosted by having ReDoc for the endpoints and a Postman collection of example requests against them. I was able to send requests, inspect responses, compare both to the doc, and then make adjustments to see what effects they had. If that's testing of any kind, it's probably what I call pathetic testing : There's this mental ima...