Speech analytics helps your contact centre understand everyday conversations between customers and agents better.
By automatically identifying, categorising and analysing words
and phrases used during a voice call, trends, opportunities, and areas of improvement are revealed. This insight can then be used to enhance engagement, compliance, operations, agent performance and overall business strategies.
Speech analytics helps your contact centre understand everyday conversations between customers and agents better.
By automatically identifying, categorising and analysing words and phrases used during a voice call, trends, opportunities, and areas of improvement are revealed. This insight can then be used to enhance engagement, compliance, operations, agent performance and overall business strategies.
Benefits
Improve FCR and customer retention
- Monitor repeat callers by searching for related key phrases like “calling again” and “the previous agent”. Isolate specific issues related to why the second call was required and use this to identify improvements such as scripting changes, agent training or knowledgebase updates.
- Identify root causes of customer churn. Use this to predict at-risk customers and proactively address potential issues before it’s too late.
- Offer real-time guidance to agents to help them retain customers and resolve issues more efficiently.
- Obtain a more granular understanding of the customer’s experience of your products, processes and service levels. Understand the underlying drivers in order to positively influence and predict customer experience metrics like NPS, customer effort and customer satisfaction.
Reduce costs
- Automate quality monitoring to reduce the need for a large QA department, resulting in significant cost savings.
- Use data to understand call drivers and take the necessary remedial action to reduce call volumes.
- Reduce talk time by finding periods of silence or longer than average calls to identify issues that are training priorities.
- Identify which agents are better/faster at handling certain queries and/or customers and automatically prioritise the routing of these interactions to those agents.
- Present contextual customer-relevant information to the agent desktop to reduce hold-time searching and overall handling time.
Lower business risk
- Identify non-compliance risks using word/phrase detection as well as monitoring the steps in the process being followed.
- Automatically scan voice calls and flag incidences of non-compliance related to government regulations, industry rules and internal policies for future follow up. This reduces the exposure to risk and costs related to potential litigation, damages and regulatory fines.
Enhance agent performance
- Improve agent conversations by identifying behavioural or knowledge-related detractors and use this as an opportunity for coaching. A long pause in a conversation, for example, could indicate a gap in agent product knowledge.
- Stay in touch with the emotional and mental well-being of your agents by detecting frustration, stress, anger and taking suitable action in terms of training, counselling or offering additional support.
- Alert supervisors to specific issues such as escalating emotions and/or the use of profanities to allow for immediate listening-in, intervention, and corrective action.
Instant, relevant customer insight
- Save time and money on market research by automatically collecting and analysing data from actual customer calls. Insight could include how the marketplace perceives your offerings, competitive intelligence, identifying strengths and weaknesses with products and processes, and emerging trends or opportunities, amongst others.
Boost sales
- Improve sales conversion rates by automatically and in real-time identifying opportunities for upselling and cross-selling, prompting the agent to take immediate action (such as offering discounts or complementary products and services).
- Identify scripting and behavioural best practices that can be shared/reproduced by other agents to increases sales or acquisitions.
Challenges
Loss of customer insights
Contact centres cannot afford to manually review all calls, resulting in non-compliant agent behaviour, lost customer insights, and increased risk.
Failure of traditional metrics
Traditional agent performance metrics don’t always reflect the quality of the interactions or help identify areas for coaching, training and improvement.
Hard to analyse voice calls
Voice calls provide a wealth of instant, relevant data but it is difficult to mine, analyse and turn into actionable customer insight.
Identifying causes of poor CX
Pinpointing the root cause of a poor customer experience is a challenge – making it hard to remedy and improve.
Low levels of transcription accuracy
Calls often need to be transcribed for further analysis, but factors such as background noise, accents, and cross talk can result in low levels of transcription accuracy.