Getting Stuck for Explorers
How do you get stuck when exploring? More to the point, what does that tell use about getting unstuck?
Exploration needs iteration: if you stay in one place you’ll run out of new things to explore. If stuckness is important to explorers, perhaps it’s important to exploratory testers.
For Workroom PlayTime 054 – a Miro board
Exercise
5 minutes – prime your mind
Write down as many synonyms for being stuck as you can. See what metaphors they live in.
5 minutes – refine and aim
Think of ways that software exploration doesn’t match those metaphors. How does stuck feel there? Think of more synonyms and phrases that better suit.
10 minutes – get specific, share and find useful stuff
Share and classify metaphors around what’s happening when you explore.
Share ways that you have used to get un-stuck.
Frameworks
example metaphors (if you're stuck...)
- stuck in the mud / in a rut, mired, gridlocked, dead end, hit a wall
- lost, wandering, down a rabbit hole, sidetracked, can’t see the forest for the trees
- in too deep, stuck in quicksand, drowning in details
- tangled up, boxed in, trapped
- brain fog, overthinking, analysis paralysis, fixated
- gummed up, seized, rusty,
- stunted, ossified, stagnant, ossified
- burnt out, out of fuel, out of steam, sluggish
Inverting Motivators
In Drive, Dan Pink identifies the families of motivators: mastery, autonomy and purpose. This is taken from Deci and Ryan’s Self-determination Theory, which had autonomy, competence and relatedness.
Matching demotivators might be incompetence / confusion / overwhem / futility, dependency / prescribed methods / powerlessness, meaninglessness / disconnection / absurdity.
Setbacks
Amabile / Kamer’s Progress Principle supposes that small setbacks can have a large effect when under pressure – and conversely, tiny steady achievements make an outsized difference when stuck.
Cognitive load
Sweller’s theory of cognitive load tells us that we have a limited capacity, and get stuck when we have too much on our minds. A given situation has a certain intrinsic cognitive load, we bring an individual germane load to processing it, and there is an extraneous load in how it is presented. If we’re stuck but can adjust how we’re interacting with the artefact, we might get unstuck.
My Patterns of Stuckness
I get stuck when:
- I’ve not found enough weidnesses – and when I’ve found too much. Typically I can’t decide what to do next, maybe becuase in the first instance I don’t have enough signal, and in the second I have too much noise.
- it’s too long between weirdnesses. Typically I question my process and try to think of something different.
- the weirdnesses show no hint of determinism, or when it’s not clear what the weirdnesses might mean. Seeing noise, not pattern, is a demotivator.
- I can’t decide which weirdnesses is weirdest.
- I can’t get my tools to work, and realise I’ve spent more time exploring my buggy tools than I have exploring the subject.
Getting unstuck
For me:
- notes are a key to unlock stuckness – I can put information into notes for review and as a memory, use them to trigger new approaches, switch from a linear narrative to a growing picture and more.
- I think of process goals (taking regular technical action / putting one foot in front of the other) rather than progress goals (getting to an endpoint / winning a race).
- Accepting uncertainty is a reliable way to innovation.
- Recognising my triggers (finding too few problems, feeling unqualified to judge) helps me move past.
Stopping Heuristics for Exploratory Testing
Let’s distinguish being stuck from stopping. Stuck is when you can’t move despite (something). Stopping is when you’ve run out of resource.
A great way to run out is when you’ve set yourself a small budget – a timebox, a stack of discoveries: running out means it’s time to move on and switch to a different location or approach.
Here’s my non-exhaustive list of situations to stop, and here’s a better list from Michael Bolton and James Bach:
- out of resource: time / money / licenses
- found enough (by number)
- found enough (a big-enough problem)
- found nothing of note after some time (before out of resource?)
- answered all the outstanding questions (you did have questions?)
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