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Case Study: How Kruze Consulting Uses Frame AI and Bonusly Together To Improve Customer Experience and Employee Experience

By Frame AI

With Bonusly and Frame AI together, Scott's team can

 

Kruze Consulting is a leading accounting, finance, HR, and tax consulting provider for seed and venture capital-funded startups. 

In the midst of the COVID-19 pandemic, Kruze found themselves with a challenge that every growing company aspires to face — their customer base was growing at warp speed and their customers, existing and new, were more engaged than ever. 

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Infographic: 5 Things To Know About Activating Customer Feedback in 2021

By Frame AI

81% of companies are competing on customer experience. The bad news is that it’s getting harder to differentiate your business, but the good news is that CX technology is better than ever and makes it easier to activate the customer feedback that moves the needle for your customers and your business. To understand what’s changing and why we combined findings across the year of customer feedback data and a survey of CX professionals. Check out our infographic that highlights the top five things to know about activating customer feedback in 2021.

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Frame AI Helps Fastly Stay Ahead of Customer Expectations

By Frame AI

Highlights:

  • Fastly is an edge cloud platform provider focused on empowering developers to build superior online experiences by moving data and applications closer to users, making websites and applications higher performing and more secure. Fastly stands behind the best of the web with a diverse and innovative set of global customers. Fastly uses Frame AI to reduce customer effort by over 20%, gain insight into customer sentiment across 100% of exchanges, and prioritize urgent account activities.
  • All customer communication is represented in one unified CX view, resulting in better, faster business decisions and increased ROI from CX improvements.

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.

Surveys Alone Were Not the Answer

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.

From an AI Skeptic to a Frame AI Believer

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.

How Fastly Uses Frame AI to Improve Customer Experience

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.

Customer Insights from 100% of Conversations, in Real-Time


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.

Act Quickly on Opportunities

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.

Find the “Why” in Voice of Customer

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:

  • Feeding data back to the executive team to advocate for customers at the strategic level
  • Streamlining how tickets are handled from a process level, so that customers reach resolution faster
  • Directly empowering Support Engineers to identify and rapidly solve urgent and unusual issues

“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.”

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Top 10 Big Data Startups in the United States to Watch in 2020

By Frame AI

Analytics Insight 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.

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How Frame AI and productboard Make VoC Actionable for Product Teams

By Frame AI

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.

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Top 25 Machine Learning Startups to Watch in 2020

By Frame AI

Forbes

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Frame AI Secures $6.3M Series A to Help Companies Better Understand Customers

By Frame AI

Crunchbase

New York startup Frame AI raised $6.3 million in Series A funding to help companies engage more efficiently with their customers using artificial intelligence and machine learning.

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Frame AI Raises $6.3M to Understand Customer Conversations in Order to Supercharge Existing CX Efforts

By Frame AI

AlleyWatch73% of all people point to customer experience (CX) as a determining factor in their purchasing decision. Frame AI challenges the status quo through its Voice-of-Customer data platform that helps companies identify, prioritize, and take proactive action to address drivers of customer experience, in real-time and across all channels.

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Press Coverage

Frame AI Raises $6.3M Series A to Help Understand Customers Across Channels

By Frame AI

TechcrunchFrame AI, a New York City startup that uses artificial intelligence and machine learning to help companies understand their customers better across multiple channels, announced a $6.3 million Series A investment today.

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