feedback
Control and Correlation
The fastest way to learn something is to do something
An Article by David R. MacIverSuppose you have a problem to solve. What do you do?
Well, you sit down and think real hard, and after extensive and careful planning you try the well thought out and rigorous solution that you have thought up. Right?
No, wrong! Bad.
The correct thing to do when you have a problem is:
- Think for a short amount of time.
- Make sure it is safe to try things.
- Try something you think will work.
- Observe the result. If you succeeded, yay you solved the problem! If it didn't work, think about what that means for the nature of the problem and try again.
How can we develop transformative tools for thought?
A Research Paper by Andy Matuschak & Michael NielsenConventional tech industry product practice will not produce deep enough subject matter insights to create transformative tools for thought.
...The aspiration is for any team serious about making transformative tools for thought. It’s to create a culture that combines the best parts of modern product practice with the best parts of the (very different) modern research culture. You need the insight-through-making loop to operate, whereby deep, original insights about the subject feed back to change and improve the system, and changes to the system result in deep, original insights about the subject.
When Customer Journeys Don’t Work: Arcs, Loops, & Terrain
An Article by Stephen P. AndersonThinking [in terms of loops and arcs] allows us to let go of a specific journey or sequence, and imagine dozens of scenarios and possible sequences in which these skills can be learned. This doesn’t mean there aren’t more fundamental skills that other skills build upon, but we can let go the tyranny of how, precisely, a person will move through a system. We’re free to zoom in and obsess on these loops, which does two things for us:
- Approach the design of a system as the design of these as small but significant moments of learning.
- Consider the many ways these loops might be sequenced, with the exact order being less important.
Asynchronous Design Critique: Getting Feedback
An Article by Erin CasaliGetting feedback can be thought of as a form of design research. In the same way that we wouldn’t do any research without the right questions to get the insights that we need, the best way to ask for feedback is also to craft sharp questions.
Software that nobody wants
Finding value is the result of enabling individual and group-level discovery attempts. It's not the result of everyone following one leader's gut.
What just happened is a new software product/feature was created that no customer wanted. This happens way too often. In fact, most hyper important software projects that must be done by date certain or else, have deep flaws that cause some variation of this phenomenon, flaws that include:
- Not wanted - Company specified a solution to a problem that customers don't actually have
- No Rarity - Company is pursuing an iKnockoff of existing products. The market already has two scaled competitors with working solutions, customers naturally spend budget on products that are already successful to avoid risk
- Incorrect Packaging - Customers need a website, but the company created an iOS app instead
- Incorrect Pricing - Customers need SaaS pricing, but the company created a shrink wrapped, on-premise solution with CapEx and maintenance agreements instead
The 'date scrum' anti-pattern
Date Scrum is an R&D pattern where developers are asked to estimate software project requirements upfront for the entirety of the project. After the project is green lighted and the budget is set based on the final estimates, the team then holds daily scrums to status and manage risk as they “iterate” the solution toward the release date. To some, this approach is described as doing Waterfall in sprints.
The fundamental problem with Date Scrum is that the team is de-focused from discovering the best solution. Instead they are heavily focused on delivering Something™ by the Date™. Engineers are problem solvers, and if the primary problem becomes delivering Something™ that will pass QA by the Date™, they will, with enough pressure, solve that exact problem.