Ten Key Steps to Ensure Speech Analytics Success


Sabio have identified ten key steps that organisations should follow to help ensure the success of their speech analytics deployments.

Deployed correctly, speech analytics can play a key role in helping organisations to optimise all aspects of their customer journey.

However, the customer experience specialist recommends that organisations don’t treat the technology as a plug-and-play deployment, instead suggesting that strong governance needs to sit at the heart of any speech analytics project.

“With speech recognition and analysis continuing to improve, there’s an exciting opportunity for organisations to build processes that actively contribute to improving the customer experience,” says Daniel Stimpson, Sabio’s Head of Workforce Optimisation Solutions.

Daniel Stimpson

This is all “while at the same time unlocking significant savings.”

“However, speech analytics projects demand extensive governance to ensure successful delivery.”

“In order to ensure customer engagement teams are ready to take advantage of their valuable speech analytics data, we’ve identified Ten Key Steps that organisations should follow to make the most of their speech analytics deployment.”

The Ten Key Steps to Keep Your Speech Analytics Project On Track:

1. Beware the ‘Vortex of Everything’

It’s critical to be clear about what you need to fix and your priorities before you start your speech analytics project.

2. Establish Governance

Speech analytics need direction to focus on those areas that are most important for the business – rather than getting swamped with requests.

3. Ensure Alignment with Corporate Strategy

Speech analytics is a key element of broader customer journey analysis, so projects need to be closely aligned with corporate goals.

This not only makes it easier to secure executive buy-in, but also helps in gaining clearance to fix those issues you might uncover.

4. Have the Right Skill Sets in Place

Speech analytics teams require a mix of talents: it’s not just about technical skills, you also need to have an understanding of the business and language expertise, as well as marketing and compliance support.

5. Go Deep and Narrow

Speech analytics’ granular approach encourages root cause analysis of potential issues.

Resolving issues sequentially is key to driving business benefits for projects, whether it’s through demand reduction, removing potential fraud risks, improving customer attrition rates or optimising operating costs.

6. Adopt an Iterative Approach for Continuous Improvement

Speech analytics needs to be embedded at the heart of your continuous improvement processes.

Focus on those issues that support your corporate and scorecard goals, resolve them and move on to the next ones.

7. You’ll Still Need to Listen to Your Calls

While your core Speech Analytics process is automated, it will still benefit from being calibrated.

There’s no substitute to smart analysis by skilled customer contact professionals.

8. Tune Speech Analytics to Support Your Key Metrics

Speech analytics can play a key role in proactively identifying, analysing and acting on issues that impact your key corporate metrics such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), Customer Effort and others.

9. Supercharge your Existing Applications

Speech analytics can play a key role in supercharging your existing workforce optimisation and engagement analytics activities.

For example, by leveraging recorded interactions, supporting coaches and enabling agent optimisation.

10. Deploy Speech Analytics as a Myth-Buster

All contact centres have their own myths, things you can’t change, perceived wisdom, different ways of doing things.

With speech analytics in place you can start dealing with facts instead of fiction.

To find out more, visit www.sabio.co.uk

Published On: 15th Aug 2017 - Last modified: 16th Aug 2017
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