Building a product is always for a customer. Developing with this fact in mind helps developers turn their love for technology into more relevant results. Jake Levirne explains the approach for very technical products at Digital Ocean in a small series of videos.
How to Give Your Users Superpowers
Application Programming Interfaces, or APIs, thrive and give companies an edge for focusing on very specific issues. While the pattern has been around sind the early 2000s, the ecosystem only started to develop this rapidly recently.
Only to make an example, Twilio started their service as an API only offering. The problem the company solves is basically notification. On all channels, mainly texting and calling. Which by itself is pretty complex, compared to what the involving party actually wants to achieve. Twilio is wrapping this functionality to allow their customers take advantage of telecommunication.
Grace Isford made an effort to classify vendors in the market, that follow similar patterns. The criteria for the selection in his chart are:
- The product reduces complexity
- The company provides Business Critical Functionality
- It takes advantage of a technological shift
- And finally a community factor
The entire sector is currently exploding and it’s difficult to keep track. Specialised services, consumable through Web-APIs become a commodity for at least developers. Grace Isfords chart gives a good overview of the current situation, along with some criteria to consider the offering.
TensorFlow, the open-source machine-learning library, introduced a library to make recommendations easier. Recommendations are a crucial component for e-Commerce but also other web-services. Good recommendations help build a better user experience and drive customer engagement. The more time consumers spend on a site, the quicker customers find what they are looking for, the better their satisfaction. Recommendations help achieve this and TensorFlow now makes it easier to improve such functionality.
DigitalOcean today published the recordings from their virtual TIDE EMEA Online Cloud Conference. The videos are available on youtube as a playlist.
Honorary mention for the Product Management related track.
It’s not like email has been a perfect solution ever, to start with. In fact, email has been broken for most of its existence. Imagine all the rules and filters you need to stay on top of your inbox. When Internet became popular, soon spam became popular.
Email lists were usable only before eternal September began. Just the other day somebody at my employer responded to an email list that has thousands of subscribers. And so did everybody else.
Not to mention those emails that come with a good intention and make it past all filters into your inbox. Those typically span many pages and make you feel guilty for not reading because you’re busy.
Admit it, email is broken.
With the advent of new technology, there are new solutions. Magic Email, as announced by Producthunt in it’s weekly newsletter, is something that I’m totally not sure whether it’s an improvement or total troll. Built on GPT-3, that created some bus on the Internet recently, Magic Email allows you to do two things:
a) It will summarize long emails for you. That actually seems to be a good idea for those emails you just couldn’t get around to reading full detail. At least it will tell you whether it’s worth it to invest more time and go into the details buried in long prose.
b) The much more interesting feature it is, that magic email can write text for you. You just give it a bunch of keywords a simple statement and it will extend to a long email. This is exactly that part that makes me wonder whether the product is meant as a troll. Imagine all those guys responding to an email list. Instead of replying “please unsubscribe me”, GPT-3 will write an exhaustive email basically saying the same. The same level of detail will pull much more of your time. Unless you have Magic Email installed yourself of course.
Nevertheless, the product is amazing.
Magic Email is your AI-powered email assistant that summarizes your emails and generates professional emails from brief one-line descriptions. Get through all of your emails 5x faster so you can free up more time for your important work.From Producthunt
“We are not working in this a ‘Agile‘-mode that you’re working in.” she said. She actually tried to disparage the lack of structure in the other team she has been assigned to work with. The team this lady belongs to consider themselves a marketing team. In a high-tech company. Marketing, but still: for technology.
After the assignment to the new team, this lady actually tried to mock the lack or absence of procedures in the new team. Her comment meant to refer to any processes but literally trying to differentiate herself.
The team she is working with initially tracks their tasks of deliverables in a so-called Kanban board. The same team conducts daily standup meetings, that are facilitated by a process owner. About once every other week there are so-called review meetings with the team manager and external stakeholders.
All of these are fragments from agile methods.
Of course, it is conjecture. At the same time, this pattern that can be observed in many places. People try to differentiate themselves from the working class, the programmers, the technical guys. While in reality, all colleagues contribute to the same product.
So ultimately, the differentiation between being technical and the business ends up being more hurtful to the companies culture. Not to mention the effects of digitalization, that is based on the assumption that technology will improve everybody’s life. Assuming more technical acumen, even as a business person, will make you a better, more efficient person. Being technical is independent of working in agile mode.
GitHub just started to publish a public Roadmap. Not even a login is required. Product People will appreciate, this is pretty huge commitment for an organization.
Aber nur solange die Künstliche Intelligenz nicht weiterentwickelt wird. 🤷🏻♂️
During this years wwdc2020, Apple announced it’s own silicon for future Mac computers. This is HUGE. After the switch from 68xxx to PowerPC and to Intel, this is the fourth change of HW Platform for the company. Mainly, it means a huge message to Intel, who has been providing CPUs for the popular Mac Computers.
K2, over dinner: “I want to have a huge pile of wood in front of my window!”
Me: “Why would you want to have a huge pile of wood in front of your window?”
K2: “So everybody who needs some wood can take some!”
He’s definitely going to be a Product Manager some day.