Last night, we watched Steve Jobs: The Lost Interview on Netflix. It’s a lengthly (70 minute) interview from 1995, in which Steve Jobs discussed his recipe for a successful business. The interview was made 19 years ago when Steve Jobs was still running NeXT Computers, and just six months before he rejoined Apple.
One of the main benefits from single sourcing is the ability to reuse existing content. Different departments can avoid duplicating work, which means they can save time and money.
Unfortunately, it can be difficult to quantify these savings before you move to an authoring or content management system that enables you to single source. Analysing all the existing documents in a business can be overwhelming, which means often organisations only quantify the savings after the single sourcing content management system has been implemented.
There are a few software applications that can help you analyse your existing content and determine how much duplication exists. You get a sense of how much time and effort was wasted in the past, which is a pretty good indication of how much waste you’d avoid in the future.
We wondered how this diagram would look if it related to content strategy. We came up with a diagram that describes the critical risk factors in content strategy – the aspects you will need to ensure you get right within the management culture that exists inside your organisation:
“Netflix can track and analyse, in minute detail, the behaviour of every person who watches a programme on its service. The rumour is that Netflix used its “big data” to decide what would be the best programme to make for its audience …. In some cases, unfortunately, technical publications teams are more in the dark about their customers than the TV networks.”
With the recent media attention on Yahoo’s announcement that it is banning its staff from “remote” working, we thought it might be useful to look at the case for and against Technical Authors working from home.
The case for allowing remote working
They can do their jobs more productively without interruption from others. When Technical Authors are writing (which is approximately 50% of their time), it can often help their concentration if they can work in a distraction-free environment.
There’s less need for office space and related costs (telephones, desktop computers etc).
“Some of the best decisions and insights come from hallway and cafeteria discussions, meeting new people, and impromptu team meetings.”
Being a Technical Author is one of those roles where remote working can work well. However, it’s best to be able to have both options available – to have people who can come into the office within a short space of time, should there be an emergency. There’s a great deal of value in meeting people face-to-face, and to be part of a company culture (especially within startups), but it can help enormously if you can write in a distraction-free environment.
If you do work from home, you need to have a productive working environment, and be able to be self-disciplined.
Agile programming has grown in popularity and it has led to new challenges for those involved in providing user assistance for those applications. So is it time for technical authors to develop an equivalent method for developing content for these projects? Is it time to develop an “Agile authoring” methodology? Also, if we want to move away from a hand-crafted approach to developing content and towards a more engineering-like approach, what can we learn from the latest techniques being applied in manufacturing?
Such a method needs to complement Agile programming, but it may be a mistake to take Agile programming as the starting point for developing it. The developers of Agile drew upon the principles of Lean manufacturing, and perhaps technical authors should do the same.
In this webinar, we will explain how the principles of Lean manufacturing can be applied to developing and managing content. It’s a way of writing that focuses on maximizing the value to the user and minimizing waste. It involves measuring the processes and value of what has been delivered so that iterative improvements can be made over time.
This webinar will be hosted by the Society for Technical Communication.
The US Presidential elections have just ended, and the big winners were the “Quants” – the statisticians such as Nate Silver, who used statistical models of big data sets to accurately predict the electoral college vote results. In competition with the Quants were the “Pundits”. These were the commentators on politics, some of whom said they were using gut feel to make their predictions. Pretty much all of the Pundits failed to predict the results accurately.
It is our experience that there is a similar difference between different Technical Publications teams.