What happens when the tools and technologies we use every day become mainstream parts of the business world? What happens when we stop leading separate “consumer” and “professional” lives when it comes to technology stacks?
Sinofsky is a genius. His essay about continuous productivity and the next generation of work is a must read - and summarizes all my thoughts about the paradigm shift discussed a few posts ago, the future of work, business strategy and the evolution of work.
An essay from Steven Sinofsky
[Thank you Steven Sinofsky | By Steve Sinofsky, 08.31.13]
What happens when the tools and technologies we use every day become mainstream parts of the business world? What happens when we stop leading separate “consumer” and “professional” lives when it comes to technology stacks? The result is a dramatic change in the products we use at work and as a result an upending of the canon of management practices that define how work is done.
This paper says business must embrace the consumer world and see it not as different, less functional, or less enterprise-worthy, but as the new path forward for how people will use technology platforms, how businesses will organize and execute work, and how the roles of software and hardware will evolve in business. Our industry speaks volumes of the consumerization of IT, but maybe that is not going far enough given the incredible pace of innovation and depth of usage of the consumer software world. New tools are appearing that radically alter the traditional definitions of productivity and work. Businesses failing to embrace these changes will find their employees simply working around IT at levels we have not seen even during the earliest days of the PC. Too many enterprises are either flat-out resisting these shifts or hoping for a “transition”—disruption is taking place, not only to every business, but within every business.
Continuous productivity is an era that fosters a seamless integration between consumer and business platforms. Today, tools and platforms used broadly for our non-work activities are often used for work, butunder the radar. The cloud-powered smartphone and tablet, as productivity tools, are transforming the world around us along with the implied changes in how we work to be mobile and more social. We are in a new era, a paradigm shift, where there is evolutionary discontinuity, a step-function break from the past. This constantly connected, social and mobile generational shift is ushering a time period on par with the industrial production or the information society of the 20 century. Together our industry is shaping a new way to learn, work, and live with the power of software and mobile computing—an era of continuous productivity.
Continuous productivity manifests itself as an environment where the evolving tools and culture make it possible to innovate more and faster than ever, with significantly improved execution. Continuous productivity shifts our efforts from the start/stop world of episodic work and work products to one that builds on the technologies that start to answer what happens when:
Today our tools force us to hurry up and wait, then react at all hours to that email or notification of available data. Continuous productivity provides us a chance at a more balanced view of time management because we operate in a rhythm with tools to support that rhythm. Rather than feeling like you’re on call all the time waiting for progress or waiting on some person or event, you can simply be more effective as an individual, team, and organization because there are new tools and platforms that enable a new level of sanity.
Some might say this is predicting the present and that the world has already made this shift. In reality, the vast majority of organizations are facing challenges or even struggling right now with how the changes in the technology landscape will impact their efforts. What is going on is nothing short of a broad disruption—even winning organizations face an innovator’s dilemma in how to develop new products and services, organize their efforts, and communicate with customers, partners, and even within their own organizations. This disruption is driven by technology, and is not just about the products a company makes or services offered, but also about the very nature of companies.
The starting point for this revolution in the workplace is the socialplace we all experience each and every day.
We carry out our non-work (digital) lives on our mobile devices. We use global services like Facebook, Twitter, Gmail, and others to communicate. In many places in the world, local services such as Weibo, MixIt, mail.ru, and dozens of others are used routinely by well over a billion people collectively. Entertainment services from YouTube, Netflix to Spotify to Pandora and more dominate non-TV entertainment and dominate the Internet itself. Relatively new services such as Pinterest or Instagram enter the scene and are used deeply by tens of millions in relatively short times.
While almost all of these services are available on traditional laptop and desktop PCs, the incredible growth in usage from smartphones and tablets has come to represent not just the leading edge of the scenario, but the expected norm. Product design is done for these experiences first, if not exclusively. Most would say that designing for a modern OS first or exclusively is the expected way to start on a new software experience. The browser experience (on a small screen or desktop device) is the backup to a richer, more integrated, more fluid app experience.
In short, the socialplace we are all familiar with is part of the fabric of life in much of the world and only growing in importance. The generation growing up today will of course only know this world and what follows. Around the world, the economies undergoing their first information revolutions will do so with these technologies as the baseline.
Briefly, it is worth reflecting on and broadly characterizing some of the history of the workplace to help to place the dramatic changes into historic context.
The industrial revolution that defined the first half of the 20 century marked the start of modern business, typified by high-volume, large-scale organizations. Mechanization created a culture of business derived from the capabilities and needs of the time. The essence of mechanization was the factory which focused on ever-improving and repeatable output. Factories were owned by those infusing capital into the system and the culture of owner, management, and labor grew out of this reality. Management itself was very much about hierarchy. There was a clear separation between labor and management primarily focused on owners/ownership.
The information available to management was limited. Supply chains and even assembly lines themselves were operated with little telemetry or understanding of the flow of raw materials through to sales of products. Even great companies ultimately fell because they lacked the ability to gather insights across this full spectrum of work.
The problems created by the success of mechanized production were met with a solution—the introduction of the computer and the start of the information revolution. The mid-20 century would kick off a revolution in business, business marked by global and connected organizations. Knowledge created a new culture of business derived from the information gathering and analysis capabilities of first the mainframe and then the PC.
The essence of knowledge was the people-centric office which focused on ever-improving analysis and decision-making to allocate capital, develop products and services, and coordinate the work across the globe. The modern organization model of a board of directors, executives, middle management, and employees grew out of these new capabilities. Management of these knowledge-centric organizations happened through an ever-increasing network of middle-managers. The definition of work changed and most employees were not directly involved in making things, but in analyzing, coordinating, or servicing the products and services a company delivered.
The information available to management grew exponentially. Middle-management grew to spend their time researching, tabulating, reporting, and reconciling the information sources available. Information spanned from quantitative to qualitative and the successful leaders were expert or well versed in not just navigating or validating information, but in using it to effectively influence the organization as a whole. Knowledge is power in this environment. Management took over the role of resource allocation from owners and focused ondecision-making as the primary effort, using knowledge and the skills of middle management to inform those choices.
A symbol of knowledge productivity might be the meeting. Meetings came to dominate the culture of organizations: meetings to decide what to meet about, meetings to confirm that people were on the same page, meetings to follow-up from other meetings, and so on. Management became very good at justifying meetings, the work that went into preparing, having, and following up from meetings. Power derived from holding meetings, creating follow-up items and more. The work products of meetings—the pre-reading memos, the presentations, the supporting analytics began to take on epic proportions. Staff organizations developed that shadowed the whole process.
The essence of these meetings was to execute on a strategy—a multi-year commitment to create value, defend against competition, and to execute. Much of the headquarters mindset of this era was devoted to strategic analysis and planning.
The very best companies became differentiated by their use of information technologies in now legendary ways such as to manage supply chain or deliver services to customers.
Companies like Wal-Mart pioneered the use of technology to bring lower prices and better inventory management. Companies like the old MCI developed whole new products based entirely on the ability to write software to provide new ways of offering existing services.
Even with the broad availability of knowledge and information, companies still became trapped in the old ways of doing things, unable to adapt and change. The role of disruption as a function not just of technology development but as management decision-making showed the intricate relationship between the two. With this era of information technology came the notion of companies too big and too slow to react to changes in the marketplace even with information right there in front of collective eyes.
The impact of software, as we finished the first decade of the 21 century, is more profound than even the most optimistic software people would have predicted. As the entrepreneur and venture capitalist Marc Andreessen wrote two years ago, “software is eating the world”. Software is no longer just about the internal workings of business or a way to analyze information and execute more efficiently, but has come to define what products a business develops, offers, and serves. Software is now the product, from cars to planes to entertainment to banking and more. Every product not only has a major software component but it is also viewed and evaluated through the role of software. Software is ultimately the product, or at least a substantial part of differentiation, for every product and service.
Today’s workplace: Continuous Productivity
Today’s workplace is as different as the office was from the factory.
Today’s organizations are either themselves mobile or serving customers that are mobile, or likely both. Mobility is everywhere we look—from apps for consumers to sales people in stores and the cash registers to plane tickets. With mobility comes an unprecedented degree of freedom and flexibility—freedom from locality, limited information, and the desktop computer.
The knowledge-based organization spent much energy on connecting the dots between qualitative sampling and data sourced on what could be measured. Much went into trying get more sources of data and to seek the exact right answer to important management decisions. Today’s workplace has access to more data than ever before, but along with that came understanding that just because it came from a computer it isn’t right. Data is telemetry based on usage from all aspects of the system and goes beyond sampling and surveys. The use of data today substitutes algorithms seeking exact answers with heuristics informed by data guessing the best answer using a moment’s worth of statistical data. Today’s answers change over time as more usage generates more data. We no longer spend countless hours debating causality because what is happening is right there before our eyes.
We see this all the time in the promotion of goods on commerce sites, the use of keyword search and SEO, even the way that search itself corrects spellings or maps use a vast array of data to narrow a potentially very large set of results from queries. Technologies like speech or vision have gone from trying to compute the exact answer to using real-time data to provide contextually relevant and even more accurate guesses.
The availability of these information sources is moving from a hierarchical access model of the past to a much more collaborative and sharing-first approach. Every member of an organization should have access to the raw “feeds” that could be material to their role. Teams become the focus of collaborative work, empowered by the data to inform their decisions. We see the increasing use of “crowds” and product usage telemetry able to guide improved service and products, based not on qualitative sampling plus “judgment” but on what amounts to a census of real-world usage.
Information technology is at the heart of all of these changes, just as it was in the knowledge era. The technologies are vastly different. The mainframe was about centralized information and control. The PC era empowered people to first take mainframe data and make better use of it and later to create new, but inherently local or workgroup specific information sources. Today’s cloud-based services serve entire organizations easily and can also span the globe, organizations, and devices. This is such a fundamental shift in the availability of information that it changes everything in how information is collected, shared, and put to use. It changes everything about the tools used to create, analyze, synthesize, and share information.
Management using yesterday’s techniques can’t seem keep up with this world. People are overwhelmed by the power of their customers with all this information (such as when social networks create a backlash about an important decision, or we visit a car dealer armed with local pricing information). Within organizations, managers are constantly trying to stay ahead of the curve. The “young” employees seem to know more about what is going on because of Twitter and Facebook or just being constantly connected. Even information about the company is no longer the sole domain of management as the press are able to uncover or at least speculate about the workings of a company while employees see this speculation long before management is communicating with employees. Where people used to sit in important meetings and listen to important people guess about information, people now get real data from real sources in real-time while the meeting is taking place or even before.
This symbol of the knowledge era, the meeting, is under pressure because of the inefficiency of a meeting when compared to learning and communicating via the technology tools of today. Why wait for a meeting when everyone has the information required to move forward available on their smartphones? Why put all that work into preparing a perfect pitch for a meeting when the data is changing and is a guess anyway, likely to be further informed as the work progresses? Why slow down when competitors are speeding up?
There’s a new role for management that builds on this new level of information and employees skilled in using it. Much like those who grew up with PC “natively” were quick to assume their usage in the workplace (some might remember the novelty of when managers first began to answer their own email), those who grow up with the socialplace are using it to do work, much to the chagrin of management.
Management must assume a new type of leadership that is focused on framing the outcome, the characteristics of decisions, and the culture of the organization and much less about specific decision-making or reviewing work. The role of workplace technology has evolved significantly from theory to practice as a result of these tools. The following table contrasts the way we work between the historic norms and continuous productivity.
Today’s workplace technology, theory
Modern IT departments, fresh off the wave of PC standardization and broad homogenization of the IT infrastructure developed the tools and techniques to maintain, not contain, the overall IT infrastructure.
A significant part of the effort involved managing the devices that access the network, primarily the PC. Management efforts ran the gamut from logon scripts, drive scanning, anti-virus software, standard (or only) software load, imaging, two-factor authentication and more. Motivating this has been the longstanding reliability and security problems of the connected laptop—the architecture’s openness so responsible for the rise of the device also created this fragility. We can see this expressed in two symbols of the challenges faced by IT: the corporate firewall and collaboration. Both of these technologies offer good theories but somewhat backfire in practice in today’s context.
With the rise of the Internet, the corporate firewall occupied a significant amount of IT effort. It also came to symbolize the barrier between employees and information resources. At some extremes, companies would routinely block known “time wasters” such as social networks and free email. Then over time as the popularity of some services grew, the firewall would be selectively opened up for business purposes. YouTube and other streaming services are examples of consumer services that transitioned to an approved part of enterprise infrastructure given the value of information available. While many companies might view Twitter as a time-wasting service, the PR departments routinely use it to track news and customer service might use it to understand problems with products so it too becomes an expected part of infrastructure. These “cracks” in the notion of enterprise v. consumer software started to appear.
Traditionally the meeting came to symbolize collaboration. The business meeting which occupied so much of the knowledge era has taken on new proportions with the spread of today’s technologies. Businesses have gone to great lengths to automate meetings and enhance them with services. In theory this works well and enables remote work and virtual teams across locations to collaborate. In practical use, for many users the implementation was burdensome and did not support the wide variety of devices or cross-organization scenarios required. The merger of meetings with the traditional tools of meetings (slides, analysis, memos) was also cumbersome as sharing these across the spectrum of devices and tools was also awkward. We are all familiar with the first 10 minutes of every meeting now turning into a technology timesink where people get connected in a variety of ways and then sync up with the “old tools” of meetings while they use new tools in the background.
Today’s workspace technology, practice
In practice, the ideal view that IT worked to achieve has been rapidly circumvented by the low-friction, high availability of a wide variety of faster-to-use, easier-to-use, more flexible, and very low-cost tools that address problems in need of solutions. Even though this is somewhat of a repeat of the introduction of PCs in the early 1990’s, this time around securing or locking down the usage of these services is far more challenging than preventing network access and isolating a device. The Internet works to make this so, by definition.
Today’s organizations face an onslaught of personally acquired tablets and smartphones that are becoming, or already are, the preferred device for accessing information and communication tools. As anyone who uses a smartphone knows, accessing your inbox from your phone quickly becomes the preferred way to deal with the bulk of email. How often do people use their phones to quickly check mail even while in front of their PC (even if the PC is not in standby or powered off)? How much faster is it to triage email on a phone than it is on your PC?
These personal devices are seen in airports, hotels, and business centers around the world. The long battery life, fast startup time, maintenance-free (relatively), and of course the wide selection of new apps for a wide array of services make these very attractive.
There is an ongoing debate about “productivity” on tablets. In nearly all ways this debate was never a debate, but just a matter of time. While many look at existing scenarios to be replicated on a tablet as a measure of success of tablets at achieving “professional productivity”, another measure is how many professionals use their tablets for their jobs and leave their laptops at home or work. By that measure, most are quick to admit that tablets (and smartphones) are a smashing success. The idea that tablets are used only for web browsing and light email seems as quaint as claiming PCs cannot do the work of mainframes—a common refrain in the 1980s. In practice, far too many laptops have become literally desktops or hometops.
While the use of tools such as AutoCAD, Creative Suite, or enterprise line of business tools will be required and require PCs for many years to come, the definition of professional productivity will come to include all the tasks that can be accomplished on smartphones and tablets. The nature of work is changing and so the reality of the tools in use are changing as well.
Perhaps the most pervasive services for work use are cloud-based storage products such as DropBox, Hightail (YouSendIt), or Box. These products are acquired easily by consumers, have straightforward browser-based interfaces and apps on all devices, and most importantly solve real problems required by modern information sharing. The basic scenario of sharing large files with a customers or partners (or even fellow employees) across heterogeneous devices and networks is easily addressed by these tools. As a result, expensive and elaborate (or often much richer) enterprise infrastructure goes unused for this most basic of business needs—sharing files. Even the ubiquitous USB memory stick is used to get around the limitations of enterprise storage products, much to the chagrin of IT departments.
Tools beyond those approved for communication are routinely used by employees on their personal devices (except of course in regulated industries). Tools such as WhatsApp or WeChat have hundreds of millions of users. A quick look at Facebook or Twitter show that for many of those actively engaged the sharing of work information, especially news about products and companies, is a very real effort that goes beyond “the eggs I had for breakfast” as social networks have sometimes been characterized. LinkedIn has become the goto place for sales people learning about customers and partners and recruiters seeking to hire (or headhunt) and is increasingly becoming a primary source of editorial content about work and the workplace. Leading strategists are routinely read by hundreds of thousands of people on LinkedIn and their views shared among the networks employees maintain of their fellow employees. It has become challenging for management to “compete” with the level and volume of discourse among employees.
The list of devices and services routinely used by workers at every level is endless. The reality appears to be that for many employees the number of hours of usage in front of approved enterprise apps on managed enterprise devices is on the decline, unless new tablets and phones have been approved. The consumerization of IT appears to be very real, just by anecdotally observing the devices in use on public transportation, airports, and hotels. Certainly the conversation among people in suits over what to bring on trips is real and rapidly tilting towards “tablet for trips”, if not already there.
The frustration people have with IT to deliver or approve the use of services is readily apparent, just as the frustration IT has with people pushing to use insecure, unapproved, and hard to manage tools and devices. Whenever IT puts in a barrier, it is just a big rock in the information river that is an organization and information just flows around it. Forward-looking IT is working diligently to get ahead of this challenge, but the models used to reign in control of PCs and servers on corporate premises will prove of limited utility.
A new approach is needed to deal with this reality.
Transition versus disruption
The biggest risks organizations face is in thinking the transition to a new way of working will be just that, a transition, rather than a disruption. While individuals within an organization, particularly those that might be in senior management, will seek to smoothly transition from one style of work to another, the bulk of employees will switch quickly. Interns, new hires, or employees looking for an edge see these changes as the new normal or the only normal they’ve ever experienced. Our own experience with PCs is proof of how quickly change can take place.
In Only the Paranoid Survive, Andy Grove discussed breaking the news to employees of a new strategy at Intel only to find out that employees had long ago concluded the need for change—much to the surprise of management. The nature of a disruptive change in management is one in which management believes they are planning a smooth transition to new methods or technologies only to find out employees have already adopted them.
Today’s technology landscape is one undergoing a disruptive change in the enterprise—the shift to cloud based services, social interaction, and mobility. There is no smooth transition that will take place. Businesses that believe people will gradually move from yesterday’s modalities of work to these new ways will be surprised to learn that people are already working in these new ways. Technologists seeking solutions that “combine the best of both worlds” or “technology bridge” solutions will only find themselves comfortably dipping their toe in the water further solidifying an old approach while competitors race past them. The nature of disruptive technologies is the relentless all or nothing that they impose as they charge forward.
While some might believe that continuing to focus on “the desktop” will enable a smoother transition to mobile (or consumer) while the rough edges are worked out or capabilities catch up to what we already have, this is precisely the innovator’s dilemma – hunkering down and hoping things will not take place as quickly as they seem to be for some. In fact, to solidify this point of view many will point to a lack of precipitous decline or the mission critical nature in traditional ways of working. The tail is very long, but innovation and competitive edge will not come from the tail. Too much focus on the tail will risk being left behind or at the very least distract from where things are rapidly heading. Compatibility with existing systems has significant value, but is unlikely to bring about more competitive offerings, better products, or step-function improvements in execution.
Culture of continuous productivity
The culture of continuous productivity enabled by new tools is literally a rewrite of the past 30 years of management doctrine. Hierarchy, top-down decision making, strategic plans, static competitors, single-sided markets, and more are almost quaint views in a world literally flattened by the presence of connectivity, mobility, and data. The impact of continuous productivity can be viewed through the organization, individuals and teams, and the role of data.
The social and mobile aspects of work, finally, gain support of digital tools and with those tools the realization of just how much of nearly all work processes are intrinsically social. The existence and paramount importance of “document creation tools” as the nature of work appear, in hindsight, to have served as a slight detour of our collective focus. Tools can now work more like we like to work, rather than forcing us to structure our work to suit the tools. Every new generation of tools comes with promises of improvements, but we’ve already seen how the newest styles of work lead to improvements in our lives outside of work. Where it used to be novel for the person with a PC to use those tools to organize a sports team or school function, now we see the reverse and we see the tools for the rest of life being used to improve our work.
This existence proof makes this revolution different. We already experience the dramatic improvements in our social and non-work “processes”. With the support and adoption of new tools, just as our non-work lives saw improvements we will see improvements in work.
The cultural changes encouraged or enabled by continuous productivity include:
Organization culture change
Continuously productive organizations look and feel different from traditional organizations. As a comparison, consider how different a reunion (college, family, etc.) is in the era of Facebook usage. When everyone gets together there is so much more that is known—the reunion starts from shared context and “intimacy”. Organizations should be just as effective, no matter how big or how geographically dispersed.
Effective organizations were previously defined by rhythms of weekly, monthly and quarterly updates. These “episodic” connection points had high production values (and costs) and ironically relatively low retention and usage. Management liked this approach as it placed a high value on and required active management as distinct from the work. Tools were designed to run these meetings or email blasts, but over time these were far too often over-produced and tended to be used more for backward looking pseudo-accountability.
Looking ahead, continuously productive organizations will be characterized by the following:
Individuals and teams work differently
The new tools and techniques come together to improve upon the way individuals and teams interact. Just as the first communication tools transformed business, the tools of mobile and continuous productivity change the way interactions happen between individuals and teams.
Data becomes pervasive (and big)
New generation of productivity tools, examples and checklist
Bringing together new technologies and new methods for management has implications that go beyond the obvious and immediate. We will all certainly be bringing our own devices to work, accessing and contributing to work from a variety of platforms, and seeing our work take place across organization boundaries with greater ease. We can look very specifically at how things will change across the tools we use, the way we communicate, how success is measured, and the structure of teams.
Tools will be quite different from those that grew up through the desktop PC era. At the highest level the implications about how tools are used are profound. New tools are being developed today—these are not “ports” of existing tools for mobile platforms, but ideas for new interpretations of tools or new combinations of technologies. In the classic definition of innovator’s dilemma, these new tools are less functional than the current state-of-the-art desktop tools. These new tools have features and capabilities that are either unavailable or suboptimal at an architectural level in today’s ubiquitous tools. It will be some time, if ever, before new tools have all the capabilities of existing tools. By now, this pattern of disruptive technologies is familiar (for example, digital cameras, online reading, online videos, digital music, etc.).
The user experience of this new generation of productivity tools takes on a number of attributes that contrast with existing tools, including:
It is worth considering a few examples of these tools. As an illustration, the following lists tools in a few generalized categories of work processes. New tools are appearing almost every week as the opportunity for innovation in the productivity space is at a unique inflection point. These examples are just a few tools that I’ve personally had a chance to experience—I suspect (and hope) that many will want to expand these categories and suggest additional tools (or use this as a springboard for a dialog!)
The architecture and implementation of continuous productivity tools will also be quite different from the architecture of existing tools. This starts by targeting a new generation of platforms, sealed-case platforms.
The PC era was defined by a level of openness in architecture that created the opportunity for innovation and creativity that led to the amazing revolution we all benefit from today. An unintended side-effect of that openness was the inherent unreliability over time, security challenges, and general futzing that have come to define the experience many lament. The new generation of sealed case platforms—that is hardware, software, and services that have different points of openness, relative to previous norms in computing, provide for an experience that is more reliable over time, more secure and predictable, and less time-consuming to own and use. The tradeoff seems dramatic (or draconian) to those versed in old platforms where tweaking and customizing came to dominate. In practice the movement up the stack, so to speak, of the platform will free up enormous amounts of IT budget and resources to allow a much broader focus on the business. In addition, choice, flexibility, simplicity in use, and ease of using multiple devices, along with a relative lack of futzing will come to define this new computing experience for individuals.
The sealed case platforms include iOS, Android, Chromebooks, Windows RT, and others. These platforms are defined by characteristics such as minimizing APIs that manipulate the OS itself, APIs that enforce lower power utilization (defined background execution), cross-application security (sandboxing), relative assurances that apps do what they say they will do (permissions, App Stores), defined semantics for exchanging data between applications, and enforced access to both user data and app state data. These platforms are all relatively new and the “rules” for just how sealed a platform might be and how this level of control will evolve are still being written by vendors. In addition, devices themselves demonstrate the ideals of sealed case by restricting the attachment of peripherals and reducing the reliance on kernel mode software written outside the OS itself. For many this evolution is as controversial as the transition automobiles made from “user-serviceable” to electronic controlled engines, but the benefits to the humans using the devices are clear.
Building on the sealed case platform, a new generation of applications will exhibit a significant number of the following attributes at the architecture and implementation level. As with all transitions, debates will rage over the relative strength or priority of one or more attributes for an app or scenario (“is something truly cloud” or historically “is this a native GUI”). Over time, if history is any guide, the preferred tools will exhibit these and other attributes as a first or native priority, and de-prioritize the checklists that characterized the “best of” apps for the previous era.
The following is a checklist of attributes of tools for continuous productivity:
What comes next?
Over the coming months and years, debates will continue over whether or not the new platforms and newly created tools will replace, augment, or see occasional use relative to the tools with which we are all familiar. Changes as significant as those we are experiencing right now happen two ways, at first gradually and then quickly, to paraphrase Hemingway. Some might find little need or incentive to change. Others have already embraced the changes. Perhaps those right now on the cusp, realize that the benefits of their new device and new apps are gradually taking over their most important work and information needs. All of these will happen. This makes for a healthy dialog.
It also makes for an amazing opportunity to transform how organizations make products, serve customers, and do the work of corporations. We’re on the verge of seeing an entire rewrite of the management canon of the 20 century. New ways of organizing, managing, working, collaborating are being enabled by the tools of the continuous productivity paradigm shift.
Above all, it makes for an incredible opportunity for developers and those creating new products and services. We will all benefit from the innovations in technology that we will experience much sooner than we think.
Read More: https://www.linkedin.com/today/post/article/20130831145328-2293107-essay-continuous-productivity-and-the-next-generation-of-work-and-tools-for-work?
i blog about the things I love: fitness, hacking work, tech, Experiences and anything holistic.
> I am the Head of Product and Head of AI at Sikka Software.