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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /www/eksidoio_182/public/wp-includes/functions.php on line 6121For decades, contact centres have been environments of high staff turnover. Employees were expected to churn, and managers focused their resources on rapidly recruiting and onboarding new people. But a tight post-pandemic labour market and rising recruitment costs mean that model is no longer sustainable. Hiring new employees for the contact centre is now the…
The post Build a culture of learning to retain CX employees appeared first on Customer Experience Magazine.
Happy Friday! We’re bringing you the latest roundup of industry news. This week, we’re looking at new research into the cost-of-living crisis, contact centre issues, and Qualtrics’ new solutions to directly help those contact centre problems. Key news On September 19th, Feedspot posted the current Top 10 CX publications available on the web. We’re absolutely…
The post This week in CX: Qualtrics, Optimizely, and Serena Williams’ marketing campaign appeared first on Customer Experience Magazine.
Silos between customer support and product teams in SaaS companies make it harder to resolve issues or prioritize features.
Here’s a 5-part blog series to help with this challenge.
The first part is now up!
Can you relate to these issues?
https://www.rejoy.io/blog/4-step-recipe-for-an-efficient-product-support-collaboration
submitted by /u/Interesting_Time8303
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Absenteeism, or absence rate, is much more than simply tracking attendance. Find out how to calculate this metric and gain valuable insights from it!
The post Calculating Absenteeism in the Call Center first appeared on Fonolo.
Hi all. We are working on a product for people in the Customer Experience to help them analyze their clients customer feedback data and manage brand reputation using data coming from review, surveys, NPS, etc.. So here is how this works:
1.) You bring in your own data that you want to do analysis on (Google reviews, Reddit, Twitter, 3rd party sites, NPS, etc.)
2.) We extract all relevant themes and topics along with sentiment and emotions for each of the reviews in Step 1
3.) We then populate our dashboards with visualizations and analysis that can be helpful to get a complete 360 degree view of what customers are actually talking about your product.
What are your thoughts around this and how can we add features to this product to help solve your problems?
submitted by /u/miteshyadav
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