bring the voice of your customers to life

ColourtextSemantic Dashboardbring the voice of your customers to life ColourtextSemantic Dashboard

ColourtextSemantic Dashboard

Bring the voice of your customers to life

• Natural language feedback can be incredibly spontaneous, colourful and sincere – the authentic voice of the customer

• Colourtext uses this data to revolutionise a company’s understanding of its market– identifies the topics and issues people are talking about– understands the emotional colour and tonality of discussion– reveals the most significant relationships of influence within a community

ColourtextSemantic Dashboard

Solving the deluge of natural language data• Colourtext reads through natural customer feedback accurately, rapidly &

cost efficiently

• It makes sense of customer feedback from a wide variety of sources:– social networks like Facebook, Twitter and the blogosphere– branded in-house customer forums – customer satisfaction surveys– market research surveys– news-feeds

ColourtextSemantic Dashboard

This initial dashboard ‘tab’ is the sample definition page. With just a few clicks users can rapidly create any data-break that the source data will conceivably support.

e.g. Females aged 25-44, living in Glasgow that posted a message about Starbucks between 10am and midday last Tuesday...

ColourtextSemantic Dashboard

This dashboard ‘tab’ uses a heat-map as a different, highly visual way to dive into the semantic analysis data.

The red colours indicate topics or themes of high semantic significance. Users can click on any row, column or individual cell to investigate a ‘red-flag’ issue in greater depth.

ColourtextSemantic Dashboard

This dashboard ‘tab’ is directly linked to the previous heat-map tab. That means when we use the heat-map to drill down into a specific issue or question, the results of our query are displayed in the charts, graphs and tables within this tab.

In the top chart we can see that 44% of comments about ‘Gaggia’ contain ‘Evaluation Good +’ comments (i.e. positive judgements).

However, in the chart below we see that 5.96% of all ‘Evaluation Good +’ comments relate to ‘Nespresso’ (i.e. Nespresso has the highest share of positive evaluation comments)