AI, No/low code & citizens development one of the ways to drive 10x Productivity

Are you tired of feeling bogged down by unproductive tasks and processes in your organisation? It’s time to become a 10x productivity hero and challenge the status quo!

As companies scale and become more complex, lost productivity and a lack of alignment between departments can become even more significant. But by adopting AI and low/no code citizen development, organisations can streamline their workflows and automate repetitive tasks, freeing up valuable time for strategic thinking and innovation.

Small issues can also undermine our productivity on a daily basis. For example, something as simple as naming a document can make all the difference. But what if there was technology smart enough to name documents for us based on criteria we define, standardising the process across the entire organisation? AI has the potential to structure the unstructured without the work becoming reductively homogenised.

In addition to AI, low/no code development platforms can be used to build custom applications in hours and days, not weeks and months, to meet the specific needs of individual teams and departments.

As we move toward the future of work, it’s clear that organisations that can adopt these new technologies and digitalise their operating model will be the ones that succeed. 10x The Productivity Revolution will empower you with the insight you need to drive productivity shit in your organisation.

#ProductivityRevolution #AI #lowcode #nocodedevelopment #digitaltransformation #futureofwork #innovation #strategicthinking #productivityhero #dalle

Why Leaders Need The Power of Corporate Storytelling to Drive 10x Productivity Revolution.

Corporate storytelling has become a critical aspect of modern-day leadership and a powerful tool for businesses to achieve their goals. In a world where people are more connected than ever, leaders need to find ways to stand out and engage their teams in a way that is both meaningful and memorable. That’s where corporate storytelling comes in.

Studies have shown that storytelling can increase employee engagement, foster teamwork, and boost productivity by creating a culture of reflection. This is because stories can captivate audiences and create an emotional connection that lasts long after the story has been told, allowing team members to reflect upon what they have done that day.

One of the key reasons why corporate storytelling is so effective is that it allows leaders to communicate their vision and goals in a relatable and inspiring way. By telling stories highlighting relevant aspects of the company’s values, mission, and objectives, leaders can create a shared understanding among their teams and inspire them to work together towards a common goal.

Another benefit of corporate storytelling is that it helps to build trust and credibility with employees. When leaders tell stories that demonstrate their expertise and experience, they become more relatable, and their message is more likely to be well-received. This in turn fosters a culture of trust and collaboration, which is essential for any organisation that wants to achieve its goals.

Finally, corporate storytelling can also build employees’ sense of community connecting employers to their work. Leaders can create a shared experience that brings people together and strengthens their bond by sharing stories about successes, challenges, and struggles. This can be particularly powerful for remote teams or teams spread out across different locations, as it helps to create a sense of unity and connection.

Examples of compelling corporate storytelling include companies like Apple, which has used storytelling to communicate its values and mission and to inspire its employees and customers. Another example is Airbnb, which has used storytelling to create a shared sense of purpose among its employees and to foster a sense of belonging among its users.

In conclusion, corporate storytelling is a powerful tool to help business leaders deliver the 10x productivity revolution. By creating a shared understanding of the company’s vision and goals, building trust and credibility with employees, and fostering a sense of community and camaraderie, leaders can create an environment that inspires their teams to work together and achieve great things. Learn more in my upcoming book 10x Productivity Revolution.

Drive your teams productivity 10x: Why Backlogs are not just for development teams.

If you work as part of a technology team or are a product owner, you’ll be familiar with the concept of a ‘backlog.’ In short, a backlog consists of a list of incomplete work items, ideally in priority order and only containing items you can complete in a reasonable amount of time.

Backlogs are common in development environments and are part of Scrum and Kanban, but don’t just think of them as being exclusive to tech startups or new product development. Backlogs can play an important role in helping any business become more productive.

When I headed the global marketing department at Travelport, we ran the whole department off a set of interconnected Kanban boards. After a lot of initial pushback, the team slowly started to recognise the value of visualizing work, understanding work in progress (WIP) limits, and measuring velocity and gained a basic understanding of the underlying principle behind most agile and lean tools.

With access to automation tools, increased data, and better analytics, the traditional marketing department that once focused on creative is beginning to look and function like a development environment. In a growth hacking oriented environment, managing marketing in this way might be a distinct advantage. Combine that with AI to stimulate ideas and support SEO and blogs and you can deliver a step change in marketing productivity learn more in ‘10x The Productivity Revolution” coming soon!

Unlocking the Secret to Sustainable Future: What Every CEO Needs to Know?

The call for sustainability is growing louder every day, and companies are taking notice. With the number of Chief Sustainability Officers in the Fortune 500 reaching 95 in 2020, it’s clear that organizations are taking this matter seriously.

But, did you know that the key to achieving sustainability lies within productivity? Yes, you heard that right. The concept of “doing more with less” is at the core of sustainability and productivity. And the way to achieve this? By embracing an adaptive agile mindset.

At the heart of every sustainability effort is the need to reduce waste. By approaching sustainability with an adaptive agile constraint-based mindset, organizations can deliver sustainability as a low-cost, high-value outcome. The irony is that as teams grow larger than a few individuals, productivity decreases dramatically. This is why the “2 pizza box” approach to agile software teams holds true.

Constraints drive creativity and innovation. Take Steve Jobs’ famous example with the iPod – he dropped it in water and saw air bubbles coming out, which led him to say, “Those are air bubbles. That means there’s space in there. Make it smaller.” The constraint led to a better product. Similarly, constraints in the software development world, like non-functional requirements, often drive better design, marketecture, and architecture choices. The Blue Ocean strategy canvas even encourages looking at what to remove or reduce to create value.

For business leaders to truly leverage this way of thinking, productivity must hold more weight than growth alone. Private equity-backed businesses may not agree, but they do understand the importance of reducing costs and doing more with less.

Transforming organizations and building sustainable products doesn’t have to come at a higher cost to the business or the environment. And every C-suite executive looking to achieve sustainability within their organization should look to organizational agility and a 10x productivity shift to make this happen.

Would you be ready to lead the charge? Keep an eye out for my new book, 10x Productivity Revolution, where I will guide you on your journey to becoming a sustainable productivity hero in your organization.

#productivity #futureofwork #leadership #10xproductivity #ai #10xTheProductivityRevolution #agile #adaptiveleadership #CEO #dalle

How to deliver 10X productivity (Part III) for Knowledge workers?

Part 3 of a 3 part essay on the future of work in a post COVID-19 World?

A well communicated message can make the difference between inspiring a workforce and making it sigh whenever Monday morning comes around. Take one small example, how do you name a document? Everyone has their own way. Some people use personal conventions, some randomly pick a name, while others might follow a standardised procedure they’ve brought in from another organisation. It’s a small thing but what a document is called can make all the difference. Who hasn’t tried seven different ways of searching for that one important document needed for the Board meeting that starts in five minutes? But here’s where it gets interesting. What if there was technology smart enough to name documents for us based on criteria we define, and therefore automatically standardising the process across your whole organisation? AI has the potential to structure the unstructured without the work becoming reductively homogenised.

I have spent much of my working career building software products, marketing them or taking them to market. I worked in the USA helping to build an automotive electronic document management (EDM) solution as a SaaS product before the term SaaS was a common term. It was designed to manage certain types of documents (APQP & ISO 9000 to be precise, Source Quality-One) that the automotive supply chain shared. It was at this stage I got my first introduction to lean and agile thinking. For example, when a tier 4 supplier, such as a steal producer would update a document, this would then update a tier 3 producer, like an engine maker, and so on up the chain. The documents were independent but connected through a backend database, and this idea and the advantages this interconnection had, always stayed with me. As someone who has worked in many different industries (CRM, EDM, Automotive, Banking, Travel, API’s, Video Transcoding), it’s this cross-industry perspective that gives me a solid purview that often allows me to see opportunities where others might not. It’s from this background that my 10x productivity hypothesis was born.

Tomorrow’s Technology Today

Many people don’t realise just how much AI technology is already in our daily lives. Just take one of the commonest uses of AI today, rough planning. For the smartphone generation who have always had maps built into their phones, they might be unaware just how differently we used to do things. Getting from A to B in a car without the use of a disembodied voice telling us to turn around, used to be a semi-painful/humorous activity that could (in my experience anyway) result in arguments, accusations and general grumpiness. But then came along companies like TomTom who utilised AI to plan your journey for you; goodbye maps. You still had autonomy over your journey, but also a tool that responded to and updated your plan accordingly. And then as smartphone technology improved, the need for a separate tool decreased; goodbye TomTom (TomTom still trades today in fairness). This streamlined the process further, but the initial premise of AI doing the work still remained. 

People Supported with AI

I recently got to see a knowledge worker-based AI tool in action. It was an expert system (a form of AI popular in the 1980s that has become more powerful due to recent AI advances) called AIC from a consulting company called Rialto Consultancy. This AIC carried out sentiment analysis and degree of alignment analysis between leadership teams, which then went on to create a set of deliverables that helped to overcome the usual 70% failure rate seen in change programs in larger organisations (Source: McKinsey).  This system was built as a result of research undertaken by Harvard professors, Thomas Schelling and Chris Argyris, one of whom received a Nobel prize for his work. 

In effect, the expert system drives increased performance and the likelihood of a successful change programme through better orchestration of the individuals involved (Source: Bain & Co.), lining up the detractors and getting them on side. Because change relies on human beings, therefore the human condition can drive success and/or failure in equal measures. However, a tool like AIC shows how having all the data and insight overseen by AI, can increase the chance of success significantly. By establishing a protocol that ensures every contributor is receiving the same information, this information therefore becomes accessible to everyone, leaving any egos in the room free to concentrate on other things. One thing is for sure, in the future more decisions will be made by algorithms and humans working together which will aid leaderships teams and Boards to make better strategies and/or successful growth approaches. But if after the recent A Level fiasco in the UK has left you wary about the use of algorithms, don’t be; the problems occur when algorithms are left without human oversight. Properly managed, AI working with knowledge workers can free them up to concentrate on problem solving work and thus increase productivity.

The Future of AI

Anyone who has spent any time looking at the open AI API GPT-3 will have seen first-hand how powerful this technology has become. GPT-3 however, has been built mostly using open source data sets that have plagued the AI space by introducing bias and a number of high profile and embarrassing bunders.  Nevertheless, as demonstrated above, AI can successfully be used for a number of knowledge working tasks, with the breadth of these tasks increasing with every new innovation. And if applied the to the challenge of 10x productivity, I believe we could see a significant step change in productivity. 

However, in order for people to interact effectively with the technology, we will need AI that is explainable (XAI) so decision making processes are accessible and transparent. We need to be able to look into the ‘black box’ (the algorithm) and understand how and why a classification was made. The range of algorithms and applications for AI is staggering. If you’re interested in keeping up to date with what is going on with AI, I would encourage you to check out AI Forum which is a useful resource for the latest research and news.   

From More of the Same… To a New Breed of Solution

We are starting to see a new breed of productivity apps but in some cases, they are taking us way from the prize of increased productivity rather than helping to deliver it. Instant message-based tools like Slack and MS Teams hold great promise but that they take us out of our state of flow and do nothing to help structure the real work. They facilitate the communication, yes; they help support the connections and the messages I discussed in the last essay, yes; but they are yet another distraction from the real work. 

So, to help with all these interruptions, a huge range of easy to use project management tools have grown up in recent years. These move away from the MS Project style (mostly waterfall based) bloatware, to tools with superior user experiences like Jira,  Monday and Asana. However, in many cases they are little more than shared task lists with the ability to attach the documents (the work). Essentially, the project management tools are gathering all the information together in folders (tasks) and files (subtasks), but the method of transmission of the work, the document, is still the limiting factor as it remains unconnected and therefore open to duplication, wasted time etc. 

I am interested to see how documents and modern machine learning algorithms might forge a whole new type of productivity application. We are starting to see hints of the future with Microsoft 365 PowerPoint with its ability to auto design slides. If you’ve not seen it, I recommend you should because it demonstrates a small glimpse of the future. Another example is Google mail with its auto complete capability that can finish sentences for you.

So, if your appetite has been whetted, here are some productivity tools that are starting down this road, all addressing small discreet elements of the 10x productivity challenge. You may have heard of companies like Grammarly, an AI based spell checker that can help you create different types of writing. But actually, the companies closest to delivering 10x productivity are probably companies you have not heard of, like Notion who pitch themselves as an all in one workspace for notes, tasks and wikis, or Coda who pitch themselves as a new document for teams, and who recently secured $80M from famous Google venture capitalist, Kleiner Perkins. And AirTable who claim you can organise anything with a spreadsheet-like database, who also recently secured a $185M Series D round of VC investment. Then there are other companies like Monkey Learn and Agolo who offer tools for language classification and text summarisation, all of which hold promise for the development of self-organising documents. Even Microsoft with Microsoft Fluid are starting to recognise the traditional paradigm is broken and finally for good mesaure dont forget or overlook Miro great API and innovative visaul work tool.    

The Future of Productivity

Every organisation wants to be successful and maximise productivity. And every person in every organisation wants to work on things that matter, that make a difference, and that one day might just help to get them promoted. Yet so much work inside organisations are non-value-adding, and some are even value destroying. The law of diminishing returns means as an organisation gets bigger, it becomes harder for everyone to start on the same page, meaning 10x productivity slips further and further away. For start-ups who are focused on delivering the founder vision this transaction can be particularly difficult as teams grow and grow. 

So how is 10x productivity actually achievable? It’s finding the correct balance between the four kinds of knowledge work, Reactionary, Planning, Procedural and Problem Solving Work, that demands our focus; and making sure everyone understands the Purpose, People and Connections, Process and the Message.  That’s where tangible and accessible 10x productivity lies when combined with the right technology tools and training.  everyone’s ability to understand how they contribute to the big picture is challenged along with their ability to be truly productive. And with working from home, these challenges have never been more significant. Keeping a team motivated, focused and well informed is not easy, keeping a team motivate and focused and well informed is not easy. 

So unfortunately, at the moment you can’t buy an off the shelf solution to deliver true 10x productivity, but I believe in the not too distant future we will see this kind of innovation more and more. I hope my observations can help you address productivity in your own work environments, and maybe by using some of the tools and ideas I have shared in the previously essays, you can begin to organise your own 10x productivity workspace. I’d love to hear your views and how you address productivity in your own organisation. Let’s keep the conversation going, J.