Implementing a VOC Programme
Implementing VOC effectively involves following the below structured process to ensure an effective results from the analysis.
Step 1: Setting objectives
The first step of collecting the voice of the customer is to clearly define what the aim is. This could a wide range of objectives, such as improving product features based on customer feedback, enhancing the quality of customer service, or increasing customer satisfaction and loyalty.
These objectives should be aligned with the business strategy. For example, if a business aims to be a leader in customer service, then the VOC program should focus on collecting and acting on feedback related to customer service experiences.
Step 2: Choosing the Right Tools
Based on the objectives set in step one, you need to select the appropriate method of data collection for the voice of the customer. These could include the examples covered above in this guide, such as surveys, interviews, focus groups, etc., or other methods.
It is worth considering that a combination of qualitative and quantitative methods are used to understand what is important to a customer and also get a measure of what level they are after in a measurable form. For example, customers may say, “We want shorter wait times.” A measurable method for that might be 3 minutes, so a question to find this out might be, “How long is a reasonable wait time?”
If surveys are set up correctly, they can have a combination of qualitative and quantitative questions within them.
Step 3: Collecting Data
Once the method is selected, the next step is to collect the data. You should carry out the chosen method carefully to ensure good data collection. You may consider a trial of the questions being asked of a small group of customers first, then review the effectiveness of the questions and adjust if needed before conducting the rest of the data collection.
When collecting full-scale data, it is important to ensure that the data collected comes from a diverse and representative sample of your customer base. This helps make sure that the insights are reflective of your entire customer demographic.
Step 4: Analyzing Data
Once the data has been collected, it needs to be analyzed. This will involve various forms of statistical analysis to understand patterns and trends, sentiment analysis to gauge customer emotions, and thematic analysis to understand common topics and issues.
One such method for this is the Kano model to understand if the customer needs a basic need, a performance need, or an excitement feature. You can learn more about the Kano model with our guide.
The goal of analysis is to extract actionable insights that can guide decision-making. This might include identifying areas for product improvement, recognizing gaps in customer service, or uncovering emerging market trends.
Step 5: Action and Follow-Up
The most crucial step is taking action based on the insights gained. This could involve making changes to products, tweaking services, or altering customer interaction strategies. After implementing changes, it’s important to measure the impact of these actions. This could involve tracking customer satisfaction scores, sales figures, or other relevant metrics.
VOC is not a one-time exercise. It requires continuous monitoring and adjustment. The feedback loop should be ongoing, with regular collection, analysis, and action to continually improve and meet customer needs.