CASE STUDY

Atomic Form

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In this case study discover how one client implemented a software bot for billings and collections automation and:

  • Reduced billing expenses by 70% across all hospitals
  • Improved days sales outstanding by 10 days
  • Successfully mitigated the risk of health fund bad debt.


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Superannuation and investment giant reduces contact center staffing needs with WFM optimization

20%

decrease in FTE
requirements

85%

target reached for calls
answered within 34 seconds

33%

of agents successfully
cross-trained to provide
broader support

The client

A financial services company providing superannuation, investment, financial advice and banking products.

The challenge

The company faced several challenges in their contact center operations, both in-house and through third-party outsourcing. They lacked proper workforce management (WFM) capabilities, including capacity planning, scheduling and real-time monitoring. This resulted in productivity issues, inconsistent service levels and higher costs.

The client’s contact centers were underperforming, running at around 50 seconds average speed of answer versus their 25 to 30-second target. The lack of ‘contact center 101’ WFM foundations across both their internal and outsourced operations was causing unplanned shrinkage and service challenges. In addition, the company had limited digital channels for customer communication and self-service; and lacked an operational rhythm to drive efficiencies without impacting customer experience.

increase productivity and reduce costs

They needed to increase productivity and reduce costs while maintaining
profitable growth and delivering superior customer experience.

The solution

Probe CX was brought in to assess the client’s current bank contact center operations and design a ‘best-in-class’ future state that would be scalable, efficient and sustainable. Probe CX conducted a thorough WFM analysis of the current operational and digital landscape, including an assessment of the existing digitally enabled contact flow. This provided the client with much-needed visibility into their operations.

The WFM analysis identified where productivity and staffing issues were most prominent in their contact center, allowing the client to focus their efforts and resources on the problem areas. The WFM solution was implemented not just for the contact center but across the client’s overall back-office operations.

Based on this analysis, Probe CX developed a transformation roadmap that outlined a phased approach to uplift and transform the contact center. Key elements of this roadmap included:

  • Implementing contact deflection strategies to reduce call volumes, including leveraging conversational AI technology from Oration by Convai.
  • Initiatives to improve customer satisfaction (CSAT) and net promoter score (NPS)
  • Enhancing the complaints handling process, which was identified as an additional opportunity for improvement.
  • Real-time management of skill sets to better support Probe CX and the client, specifically for handling ‘pending discharge’ calls.
  • Upskilling the retention team to manage automated repricing request (ARR) emails more effectively. 
  • Cross-training two Customer Service Officers (CSO) from loan servicing to collections to improve resource flexibility and coverage.
Probe CX also created a future state solution design to project the expected shift in digital capability. The team modelled
workforce needs based on volume forecasts, using both target and actual average handling time (AHT) scenarios.

The result

Probe CX’s comprehensive roadmap resulted in:

reduction in required full-time equivalent (FTE)

reduction in required full-time equivalent (FTE) positions through strategic team restructuring and workflow improvements

decrease in FTE requirements

decrease in FTE requirements by implementing contact deflection strategies, process simplification and standardization initiatives

34 seconds

service level target for calls answered within 34 seconds

increasing from 7.3 to 8.2 in four months

A gradual improvement in agent satisfaction scores (ASAT), increasing from 7.3 to 8.2 in four months, exceeding the contractual target of 7

average of 250 ARR emails per month

Handling an average of 250 ARR emails per month through enhanced team training and resource allocation

transitioning 33% of agents

Successfully cross-training and transitioning 33% of agents to provide broader customer service support

over 51% of key enquiries

Increasing coverage of critical customer interactions, resulting in over 51% of key enquiries being managed by newly cross-trained staff.