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Download the E-BookIn today’s business press, we hear a lot about the rise of the digital workplace, particularly since the pandemic. What’s often implied but not always explicitly stated is that the digital workplace has become synonymous with the workplace itself. This has huge implications, not only for how employees collaborate and execute on work, but also for how company leaders think about workplace tech in the context of their greater strategic and business goals. It’s no surprise that 74% of IT heads say the CIO role was elevated due to the pandemic.
It’s more important than ever for companies to invest in digital transformation and bring together IT and business operation objectives. According to a recent McKinsey survey, 73% of top performing companies now say that their CIOs and senior IT leaders are heavily involved in shaping company strategy. With that shaping and planning comes the need to measure and build accountability around shared KPIs. But which are the most important ones for an optimized digital workplace?
Right now, many companies are working to strengthen the digital workplace in three key ways: with initiatives to increase productivity, improve experiences, and optimize software—both the third party internal-facing apps you buy and the homegrown ones you build.
The problem? Too many companies are executing on these initiatives in silos. This is unfortunate, because a mature, effective digital workplace sits at the intersection of these three pillars. But how should teams best measure progress within and across these core areas? And how does improvement in each of these areas make for an improved digital workplace? Here are ten KPIs every business technology and operations team should track for the digital workplace, plus tips for taking action on the data to optimize IT initiatives and improve the employee experience.
In order to boost productivity, organizations have to decide how best to measure it and arrive at a baseline off of which to set future goals. Workflow productivity is the amount of time it takes for employees to complete business-critical workflows. What constitutes a business-critical workflow varies by context—it can be either a one-time or infrequent workflow (e.g. security trainings, performance reviews) or a recurring workflow (e.g. processing loan applications). The operations team’s focus should generally be on improving the latter because of their frequency and impact on things like revenue attainment and customer satisfaction. What’s more, the average time to complete a workflow is not only a measure of productivity, but a baseline of the effectiveness of that process as designed. Is a process slowing down your users? Is it adversely impacting the customer experience because it directly slows the speed of service delivery? These are the types of questions you may encounter when investigating workflow productivity.
Process adoption is an activation metric that measures how many users are completing business-critical workflows. Most key work happens not just within a single application, but across multiple apps, so it’s important for operations teams to get a sense of how teams move through various platforms to get work done—and whether users are completing processes in the intended ways to ensure compliance. Risk management, operations, or other teams focused on business process effectiveness can use the powerful analytics from a digital adoption solution to see the flow of work across applications and identify if employees are actually completing workflows. Depending on whether the intended workflow is recurring or non-recurring, how teams consider and interpret adoption rates will vary.
A leading home improvement retail business wanted to help its employees drive more revenue in its B2B wing, selling supplies to independent workers and contractors. To further this goal, the company launched a lead generation process within its homegrown customer relationship management (CRM) software that helped employees find professionals with upcoming jobs and projects. It launched a trial in which it used Pendo In-app Guides to drive adoption of this lead generation process at 100 stores. The company found that stores using in-app guides had adoption rates 2.5x higher than those that only used traditional means of driving awareness (e.g. email). It also found that the test group of stores increased monthly revenue by an average of $1.5 million more than the control group.
Die Anwendungsakzeptanz ist eine Kennzahl, die misst, wie viele Benutzer eine bestimmte Anwendung oder ein Tool nutzen. Sie wird oft im Laufe der Zeit anhand der Anzahl der monatlich aktiven Benutzer (Monthly Active Users, MAU), der wöchentlich aktiven Benutzer (Weekly Active Users, WAU) oder der täglich aktiven Benutzer (Daily Active Users, DAU) angegeben. Indem sie den Umfang und die Qualität der Nutzung einer bestimmten App verstehen, können die Technologie-Teams erkennen, ob das Unternehmen einen guten Return on Investment (ROI) für die App erzielt.
Businesses often only begin tracking and addressing application adoption once a digital transformation is well underway, but this is a mistake. According to McKinsey findings, the most successful CEOs “are as passionate about adoption as they are about strategy. They invest time up front in making sure that the people actually using the solutions…have a clear voice in the development process.”
Es ist wichtig zu beachten, dass das Ziel der Anwendung die gewünschte Akzeptanzrate beeinflussen sollte: Dient sie einem geschäftskritischen Zweck? Können sich Mitarbeitende dafür entscheiden? Oder erfordert sie nur eine saisonale Interaktion – zum Beispiel die Aktualisierung Ihrer Personaldaten zu einem bestimmten Zeitpunkt im Jahr?
Reducing the amount of time spent manually providing support to employees is always an important goal. The most forward-thinking teams are leveraging digital adoption solutions to provide always-on automated support and guidance to help get their teams unstuck, and up and running faster. Teams can measure support deflection by taking a baseline measurement of the amount of ticket requests it gets related to given apps, tools, or processes, and then comparing that number to the amount it gets after a given period of time following the deployment of in-app support resources. These solutions can take the form of an application help center or resource hub, which houses support and guidance around various processes and functionality. Support can also come in the form of training deployed within the app itself to individuals or teams around a given task.
At the company and department level, a lot of work goes into understanding the overall employee experience. In order to improve it, teams need to baseline and measure employee satisfaction. Although the precise means by which they do so varies by organization, employee satisfaction is generally taken as holistic, digital-workplace level (or tech-stack level) feedback to assess what people experience and feel about workplace technology and ways of getting work done. Sometimes this comes in the form of an annual employee survey, which gives IT teams insights into the state of employee morale. As the workplace has become increasingly more digital, an employee’s experience with software more and more determines their experience in the workplace as a whole, so it’s important for IT to regularly evaluate this kind of feedback.
Der Net Promoter Score (NPS) ist eines der gebräuchlichsten Mittel, mit dem Unternehmen die Zufriedenheit und Loyalität ihrer Kunden messen. Es handelt sich um eine Umfrage mit nur einer Frage: „Wie wahrscheinlich ist es, dass Sie diese Marke Freunden oder Kollegen empfehlen würden?“ Die Kunden beantworten die Umfrage auf einer Skala von 0 bis 10. Kunden mit 9 oder 10 Punkten gelten als „Befürworter“, mit 7 oder 8 Punkten als „Passiv“ und mit 0 bis 6 Punkten als „Kritiker“. Die Unternehmen ziehen dann den Prozentsatz der Kritiker vom Prozentsatz der Befürworter ab, um ihren Net Promoter Score zu ermitteln.
Application Net Promoter Score works the same way as NPS, but it is delivered to employees for a workplace app or software (“How likely is it that you would recommend this product or application to a friend or colleague?”). With segmented NPS, business systems teams consider the frequency with which individuals or teams use an application when evaluating their scores. For NPS scores pertaining to a Customer Relationship Management (CRM) tool, for example, sales teams who use the app with the most regularity and frequency would have their scores scrutinized most closely or weighted more heavily.
Wenn es um den Anwendungs-NPS geht, ist die Segmentierung ein Muss, um einen echten Wert aus der Kennzahl zu ziehen. Schließlich werden die Mitarbeiter, die eine App am häufigsten und am wichtigsten nutzen, ein breiteres und tieferes Feedback geben. Durch die Segmentierung können aber auch andere Metriken je nach Kontext an Aussagekraft gewinnen. Wenn es zum Beispiel um die Einführung von Anwendungen oder Funktionen geht, kann eine Segmentierung nach Rolle oder Team ebenfalls nützlich sein. Denken Sie an eine Funktion, die einer CRM-Anwendung für den Vertrieb hinzugefügt wurde, die sich insbesondere an Unternehmensteams richtet. In diesem Fall ist es sinnvoll, die Akzeptanz nach Märkten zu segmentieren (wobei die Akzeptanz durch die Teammitglieder im Unternehmen schwerer wiegt), um den Zustand der Akzeptanzraten zu beurteilen.
Businesses collect employee feedback in many forms, for many elements of the digital workplace. Companies can track everything from top feature and enhancement requests, to business process improvement recommendations, to crowd-sourced best practices for a given app or workflow.
No matter what kind of “voice of the employee” program a company has in place, the level of proactive employee engagement with these programs is a good indicator of how invested they are in improving the employee experience. And business technology teams can learn a lot from that information. What features of the digital workplace do employees care about the most? Which apps and workflows have the greatest impact on their experience, either positively or negatively? The contextual insights you get from tracking feedback helps teams answer these and other similarly important questions.
IT should always measure the success of an application or digital project by the value it provides to the business. In turn, those funding IT should understand that value and determine an appropriate return on investment based on it. For any piece of software to generate a good return on investment (ROI), it should make or save an organization more money than the spend they put into it or otherwise mitigate risk in some meaningful way. There are a number of factors you can measure that contribute to a standard measure of ROI across SaaS tools.
One critical component of determining the ROI of software is time to value, or the amount of time from when an employee starts using an app to when the business begins deriving value from it. Another is license utilization rate, or the percentage of licenses a company has purchased for a given piece of software that is actually being utilized. A third is risk mitigation, or how well an app eliminates or reduces various risks (around security or compliance, for example) in a significant way.
Every piece of software comes with costs, but it can be challenging for IT teams and business leaders to discern precisely what those costs are and what they amount to because so many of them are indirect in nature. Total cost of ownership (TCO) is a metric that takes into account the entirety of costs, both direct and indirect, around a given piece of software. That means license costs, support costs, engineering and onboarding costs, maintenance costs—everything necessary for deploying the software, keeping it up and running, and prioritizing the right updates and fixes for employees. Once teams establish TCO baselines around software, they can identify opportunities for improvement.
JLL, one of the oldest, largest, and most storied commercial real estate firms in the world, is pushing innovation in property technology forward via its JLL Technologies arm. One key JLLT app is Blackbird, a geospatial visualization platform built to showcase market knowledge to clients—and do so in a visually compelling way that leaves them wowed. The JLLT team wanted to ensure brokers were both aware of and able to gain value from new product features without placing too heavy a burden on engineering. It turned to Pendo’s In-app Guides to support and familiarize users with new features—and immediately began seeing a reduction in task time. What used to take an engineer three days as a manual build could now be handled by a product manager in an hour, dramatically lowering the resources required to maintain the app.
Perhaps no problem has plagued IT departments more since the pandemic than SaaS sprawl—the proliferation of apps (and the costs associated with them) in companies’ internal app suites. It’s imperative for companies to have the right-sized digital portfolio for their needs, and measuring portfolio sprawl helps IT teams gauge how far off they are from where they need to be. They may choose to measure sprawl several ways—in terms of the number of internal-facing apps overall or the number of apps per user, for example.
Measuring the KPIs shared in this guide helps IT and operations teams design a digital workplace with intention and improve what’s on offer. When a company moves from a makeshift and chaotic digital workplace to building one composed of workflows, apps, processes, and elements that work in concert with one another, employees and the business as a whole benefit greatly. Gone are the days of having to perpetually triage one element or another just to keep things moving.
When you have a mature digital workplace, operational costs go down, business effectiveness goes up, and you’ll gleanbetter outcomes for company and employee alike. And there’s no time like the present to start improving things. Are you ready to build a digital workplace that works for you?