You’d be hard pressed to find an executive at any company billing itself as customer-centric who will say that listening to customer feedback isn’t important. So it’s quite possible that a customer experience program has been on your mind for some time, but it’s also quite possible that your version still exists as a quarterly survey program, or maybe as an aspirational bullet point in an internal strategy deck. Unfortunately, CX initiatives have long been easy to cast aside in favor of priorities perceived as lower effort and higher impact. But CX programs have come a long way — it’s never been more important to have a sound strategy in place, nor has it ever been more achievable to drive and measure positive outcomes for your customers and your organization. Best-in-class CX organizations are trading old-school CX programs for CX Ops, a new-action-oriented approach that unifies customer feedback and measures every interaction from every channel to help CX teams turn insight into action.Read More
Traditional CX programs fall short of measurable impact because they often rely on siloed, one-dimensional, and stale data. Poor CX data management results in an inaccurate and illegible portrayal of your CX and uncertainty about how to improve. According to Forrester, 77% of companies say that they don’t model the drivers of CX quality regularly, leaving them in the dark about what matters most to their customers. Furthermore,65% of companies say improving their data analysis is critical to improving customer experience.Read More
Before implementing Frame AI, edge cloud platform provider Fastly relied on a time-consuming manual process to surface the insight they needed. Most of their data came from customer support interactions, which were split across Zendesk and customer Slack channels. “We needed a view that would unify insights across both channels and our Salesforce CRM. Without that, we had limited visibility,” says Jill Kahn, Senior Director of Customer Support Engineering.
Supporting customers within individual support channels resulted in siloed metrics and reporting. Zendesk offered operational reporting like high-level volume trends. But every insight into what the tickets were about, and what Fastly could do to improve their surrounding processes, came from manual tagging and analysis.
Fastly knew that it could improve the customer experience by investing in CX, but the team was still left with one big question: What could we proactively do to drive a better Customer Experience?
Fastly implemented surveys to dig deeper into its customers’ needs, but doing so added as many questions as it did answers. “Every second of performance and usability is critical to our customers’ success, so it’s imperative that we know what needs our attention immediately - we simply cannot wait for survey results to roll in, and to spend the time digging around to see what’s most urgent. Frame AI saves us an enormous amount of time and execution risk in prioritizing our attention around what’s happening at all times,” says Jill Kahn.
Like many companies, Fastly saw great potential in applying AI, but the team wanted to be practical about adding new tools and shiny software. How would AI adapt to their existing set-up and processes?
Frame AI’s pragmatic approach – both with cleaning and aligning B2B customer data, and also providing actionable suggestions where the team already worked – gave them a way to move forward with confidence.
“When we adopted Frame AI, we were looking to extend processes and metrics that were already in place. It was essential that a new solution work well with what we already had,” added Khan . “Frame AI’s customizable approach helped us set clear goals and expectations to be successful.”
Ultimately, Fastly chose to implement Frame AI because it provides valuable customer insights, while maintaining a high standard of efficiency, contributing to a 25% increase in tickets resolved per agent per day.
Fastly’s first step was unifying data from Zendesk, Slack, Salesforce, CSAT and NPS data in Frame AI, to get a unified view of their end-to-end customer experience. By monitoring all communication channels at once, Frame AI helps Fastly bring rapid attention to urgent issues.
“Frame AI produces a daily checklist for our executive team that directs our attention to open cases needing oversight while also highlighting themes across multiple accounts and single accounts needing extra attention,” explained Kahn, “This overview impacts key metrics, including resolution rates and satisfaction, that ultimately drive customer happiness, retention, and growth.”
Before implementing Frame AI, Fastly measured customer wait times by manually combining wait times during a customer call. Over the first six months of implementation, Jill’s team ** reduced customer effort by decreasing wait times by more than 20%** with the help of Frame AI’s insights.
Where surveys were only providing Fastly with insight into a small percentage of its customers’ sentiments, Frame AI has expanded Fastly’s Voice of Customer analysis to include 100% of customer exchanges.
Fastly’s customer-focused executive team uses Frame AI’s quick link views to understand sentiment across different channels. This insight has allowed them to parse out the performance of specific channels and fine-tune their support capabilities.
Frame AI helps Fastly identify and address issues early on, improving the overall time to resolution.Kahn’s team receives alerts for predicted emergencies based on AI-driven logic that Frame AI has set up across multiple data sources. This means customer teams can step in as soon as there is a known issue, instead of waiting for multiple exchanges on a potential emergency.
Each alert generated by Frame AI includes context that enables prioritization and rapid response, such as account size, location and product configuration. “We can instantly identify accounts and themes that need attention, improving the overall customer experience,” said Kahn.
Altogether, Frame AI has made reporting on Voice of Customer trends far more actionable and specific, with far less manual effort. Fastly uses the intelligence that Frame’s proprietary AI provides in three ways:
“Frame AI’s ability to unify customer voice over our helpdesk, CRM, team chat, and survey data has helped us surface new insights and maintain a unified view of individual accounts, operations, and segments,” added Kim Ogletree, SVP of Client Services. “We’ve invested heavily in instrumenting those operations, but Frame AI makes it so much easier to find the ‘why’ that is driving certain behaviors and metrics, allowing us to act quickly.”Read More
Used correctly, Voice of Customer is one of the most impactful ways you can improve your company’s customer experience. According to a recent HBR Salesforce report, companies agree that customer-sourced “data has a clear role to play in developing a superior customer experience.” Yet only 23% actually act on the customer feedback they receive.Read More
Data is growing by leaps and bounds, the convergence of extremely large data sets both structured and unstructured define Big Data. The increasing awareness of theInternet of Things (IoT) devices among organizations and volume, variety, velocity and veracity at which data is generated have caught the attention of the enterprise in a bid to enhance digital technologies and guide digital transformation.Read More
The emergence of customer experience (CX) as a primary differentiator has turned up the volume on Voice of Customer (VoC) programs. When 84% of customers say that experience is just as important as products and services, the pressure is on for organizations (especially those dependent on recurring revenue) to listen to their customer voice. Without incorporating VoC insights into the product, organizations lose touch of what their customers need.Read More