Digital Customer Experience ROI: (How To) Show Me The Money

Ted Schadler

Forrester's clients frequently ask us how to build the business case for customer journey mapping, particularly for digital experiences and digital products. We have proven that better customer experiences drive revenue in industries with low switching costs. But what about investments in customer journey mapping?

Now that I've taken on Forrester's digital business and transformation playbook, I've been thinking a lot about the benefits of journey mapping, which I believe is the front end to any transformation initiative. I don't have a wealth of evidence yet to justify your investments in journey mapping (though my CX colleagues have a lot more to share for Forrester clients). But I have been developing a framework to measure the impact of better customer experiences. These metrics range from hard to squishy:

  • Higher satisfaction drives repeat business, hence higher customer lifetime value. This is a hard metric, particularly if you are using journey mapping to improve an existing touchpoint. A major online retailer told us that they prioritize digital investments (in, for example, a better mobile web experience) based on two metrics: revenue and satisfaction. Their business model succeeds or fails based on repeat business, so they build, measure, and continuously optimize the best digital engagement possible. Repeat business is something you can measure. Next, bracket the business improvement through better customer understanding with a best-case and worst-case analysis. Start by correlating customer satisfaction studies with touchpoint use and experience quality.
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Welcome to 2017: The year of #DevOps

Robert Stroud

We are eager to announce a beacon of light to help penetrate the post-holiday fog: Forrester’s DevOps Benchmark Survey for 2017 is officially live! Led by myself and Researcher Elinor Klavens, this benchmark survey serves as the backbone for a large portion of our DevOps research, facilitating the identification and tracking of trends and supporting our research including predictions for the future. Pivotal to many of our reports, this is your opportunity to shape our research, including our upcoming report “Six Trends That Shape DevOps Adoption In 2017 And Beyond.”

The DevOps survey expands on the extensive data contained in Forrester’s Business Technographics survey, drilling into the context, adoption, use, and plans with DevOps. The research team uses the survey’s findings to provide deeper, more informed insights to help guide your DevOps journey.  Questions - including how you are dealing with the business mandate of velocity, how DevOps is changing your culture, and where you see DevOps heading - are partnered with practical use of tools and automation.

No matter where you are on your DevOps journey, please take five minutes to complete the survey! All participants can receive an executive summary of the results of the survey after it closes on February 13, 2017.

Additionally, should you want to share your DevOps experiences in more detail or provide more feedback please connect with me at RStroud@Forrester.com or @RobertEStroud

Again, welcome to 2017, the year of #DevOps…. 

In The Digital World, CIOs Need To Help The Business Move Faster

Tim Sheedy
Too many businesses believe that their digital business strategy is actually a roadmap, or a series of IT projects. Being digital is a capability – in your business it impacts the culture, metrics, organization, skills, and finally – the technology.
 
As a CIO, one of the most important roles you’ll play is helping to make the business FAST – removing friction points from processes and enabling new capabilities to be developed as required by the customer, partners, and business stakeholders. Too often technology is one of the (many!) bottlenecks in our ability to quickly meet customer needs or respond to changing or new competitive threats.
 
I recently had the chance to spend some time with some senior technology leaders in Sydney discussing the need for quality when delivering digital business outcomes. With the growing need for speed, many businesses sacrifice quality for speed. This is ok – to an extent – but there are also many companies with their own horror stories of delivering a mobile app that is unstable, a website that is slow, or a connected/smart product that doesn’t work as planned. It can take years to recover from negative feedback and bad mobile app ratings, and poor products can cost millions in ongoing customer support.
 
Unfortunately, QA and Testing have too often been afterthoughts in the rush to Agile development. Your Quality Assurance and Testing practices must adapt to digital business too – testing needs to be able to accelerate development – not slow it down. QA needs to focus on customer needs. The QA team needs to speak the language of the customer, get involved with new technology projects at the ideation stage, line up and manage test data before it is required, and empower developers to do much of the testing themselves. 
 
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Reap The Benefits While Avoiding The Pitfalls: The Three Key Challenges That Could Derail Your AI Project

Martha Bennett

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it possible for companies ranging from search engine providers to camera and smartphone manufacturers to deliver AI-enabled products and services, many of which have become an integral part of many people’s daily lives. More than that, those same AI techniques and building blocks are increasingly available for enterprises to leverage in their own products and services without needing to bring on board AI experts, a breed that’s rare and expensive.

Sentient systems capable of true cognition remain a dream for the future.  But AI today can help organizations transform everything from operations to the customer experience. The winners will be those who not only understand the true potential of AI but are also keenly aware of what’s needed to deploy a performant AI-based system that minimizes rather than creates risk and doesn’t result in unflattering headlines.

These are the three key challenges all AI projects must tackle:

  • Underestimating the time and effort it takes to get an AI-powered system up and running. Even if the components are available out of the box, systems still need to be trained and fine-tuned. Depending on the exact use case and requirements for accuracy, it can be anything between a few hours and a couple of years to have a new system up and running. That’s assuming you have a well-curated data set available; if you don’t, that’s another challenge.
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Slow 3% To 4% Growth In Global Tech Market In 2017 And 2018 Due To Cloud Transition And Political Uncertainties

Andrew Bartels

In our just-published forecast for the global market for business and government purchases of technology goods and services (The Global Tech Market Outlook For 2017-2018: 3% to 4% Growth As Forces Of Disruption Battle With Forces Of Continuity), Forrester is projecting modest growth of 3.2% in 2017 and 3.9% in 2018 measured in constant currencies.  With the US dollar strengthening against most currencies in 2017 but likely to lose ground in 2018, global tech market growth in US dollars will be 2.8% in 2017 and 4.7% in 2018.

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Customer Obsession Will Remake App-Development Tools

John R. Rymer
Application-development leaders shifting to modern techniques are like acrobats performing above a flimsy net. The tools and technologies they need to support the planning, execution, and evaluation of customer-focused applications just aren't widely available yet. The biggest gaps are in portfolio management, test-and-learn development environments, and digital application platforms. This report provides an overview of the tools and technologies application-development leaders need. 
 
Our key findings: 
 
  1. Organizing Principles For Tools: Composition, Collaboration, Continuous Delivery. An emphasis on composition, collaboration, and continuous delivery makes modern application development different from prior eras. Tools and technologies must support with equal facility apps, projects, and assets living in public clouds and private data centers. They must also foster contextual collaboration in near real time to enable rapid, continuous delivery.
  2. Tools Reflect The Needs Of Cross-Skilled "Two-Pizza” Teams. Tools for modern application development and delivery reflect the convergence of roles across the old boundaries between product management, design, development, QA, and operations. Not all market-leading products act on this reality; they still address siloed roles as before. Thus, application-development teams will look to new tools — even command-line editors — and open source projects to improve project flow.
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Start Caring About VR And 360-Degree Video

Nick Barber

At the International CES mega show in Las Vegas, virtual reality hardware makers moved the needle on both consumption and creation devices for formats like VR and 360-degree video. Specifically in the area of 360 video creation technology, we saw some impressive cameras at CES.


Insta360 Pro debuted
 an 8K camera (left) that can also shoot 4K video at 100 frames per second. Slow mo, high res VR, anyone? The Insta360 also employs new H.265 encoding, which can deliver better video quality at the same bitrate versus H.264 compression. The camera is priced at $3,000, which is steep, but much more competitive than the $60,000 Nokia Ozo.

Ricoh added to its lineup of cameras with the Theta R, which can livestream in 2K resolution at 30 frames per second for up to 24 hours.

At $800 the Vuze Camera will finally begin to ship in March. Its compact size and price point will be good for brands and businesses that want to dip their toes into new content

VR and 360 content can be a powerful tool for companies. For example, Delta used a 360 image to show off its new Delta Premium offering. It drove 2,700 shares and 16,000 engagements. Click on the post below to see it in 360.

The hardware for VR and 360 video is one piece, but the technical and production component is equally as important. When it comes to producing 360 video, remember:

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Confusion And Vendor Adolescence Stalls AI Innovation In Financial Services

Craig Le Clair

 

AI is a hot topic in financial services. And its easy to see why. Increasing margins on transactions, decimated by compliance costs and low interest rates, reaching new market segments, and automating routine tasks, makes AI innovation attractive. And in one sense, FinServ has always been about algorithmic innovation. There is no higher potential ROI than beating the market. Advanced analytics for program trading have been banging away at this goal for decades, with a rich base of advances.

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How self-service technology is changing the contact center job landscape

Ian Jacobs

Over the holidays, I was a guest on the Modern Customer Podcast, a wonderful podcast hosted by Forbes’ blogger Blake Morgan. She describes the podcast as providing “surprising and counter-intuitive insights on customer experience, social customer service and content.” No pressure there, then. During our episode, Blake and I discussed the ways that increased usage of self-service has begun to dramatically transform the jobs of customer service personnel and contact center agents.

At heart, my argument goes like this: customers have begun to use, and in some cases even prefer, non-agented interactions. They use knowledgebases, FAQs, mobile customer self-service, chatbots, and peer-to-peer communities in increasing numbers. This means that:

  • Because self-service solves many of the simpler issues that customers have, the inquiries that do make it through to contact center agents are the more complex, difficult, or relationship-dependent ones. So, contact center agents now need to be prepared for solving harder problems than in the past.
  • Because most customers that actually do reach a contact center agent will have tried to self-serve and failed, they will more frustrated than they were in the past. In a world where the phone and even chat are actually escalation channels, agents start three steps back by the time they say the word, “Hello.”
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Divide (BI Governance From Data Governance) And Conquer

Boris Evelson

Stop! Before you invest even 10 minutes of your precious time reading this blog, please make sure it's really business intelligence (BI) governance, and not data governance best practices, that you are looking for. BI governance is a key component of data governance, but they're not the same. Data governance deals with the entire spectrum (creation, transformation, ownership, etc.) of people, processes, policies, and technologies that manage and govern an enterprise's use of its data assets (such as data governance stewardship applications, master data management, metadata management, and data quality).  On the other hand, BI governance only deals with who uses the data, when, and how.

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