Request a demo
Fill out the following form and we will be in touch with you very shortly.
Visualise the results in real time, take smart actions based on reliable and structured data.
Put an end to siloed data. Centralise and integrate all relevant data into a single, comprehensive dashboard.
Purchase our managed service and let Likeik take care of everything: prototyping, development and maintenance of a dashboard that is 100%-tailored for your project’s needs. Thanks to our integration module, you can layer in any type of operational, sales or HR information that enriches your analysis.
Ask us for all sorts of personalised metrics multidimensional cross-referencing, filters, etc. Likeik develops the dashboards over Microsoft Power BIand embeds them into its platform. Your entire organisation will have role-defined access to them so that they get the information they need. Download the data in Excel format.
Our service includes development, maintenance and response times of under 48 hours
If you purchase our self-management tool, you will gain access to a highly intuitive and complete module where you can check your experience feedback in real time.
The information is organised by survey, touch point and time interval.
To set it all up you won’t need to do a thing. The platform automatically links a chart to each kind of question on your survey. All you have to do is interpret it and draw conclusions.
Download all the results in Excel format. Similarly access the outputs from your mobile phone or tablet.
Share knowledge and conclusions with your organisation. Using our self-management tool you will be able to set up the recurring distribution of HTML reports by email to the platform users of your choice.
You can also share the results of your customer experience tracking with external partners by sending them a direct link to that information only.
If you purchase our managed service you can ask us to develop a regular HTML report with any layout or structure to best suit your project. Add, for example:
Use text analysis to understand what your customers and employees are talking about in their comments, claims and suggestions
Our model allows you to define the key words or word clusters for your project. We then use them to create dictionaries associated with predefined categories, tailored for your project and sector. Likeik comes up with the initial analysis and model and subsequently taps your feedback on how it is working to fine-tune it.
Comments are allocated to categories automatically, which helps you to separate the wheat from the chaff.
Prioritise important situations. We cross-reference the data along multiple dimensions and provide users with the most important root causes, underpinned by the trend in metrics such as the NPS, keywords, categories, products, services, names, etc.
All of this culminates in a model that is tailored for your project and sector. It helps you understand what you are being told without having to read all the results.
Likeik has two tools for classifying the sentiment behind a comment:
Once a sentiment has been assigned to a comment, it can be used to trigger an alert so that you receive real-time notifications of the need for case or detractor management
Use voice-to-text transcription to bring your customer experience analysis to the next level. Understand their experiences and detect areas for improvement.
The Amazon and Microsoft voice transcription services are integrated into the Likeik platform. That enables us to automatically transcribe audio recordings and analyse their contents. All in an effective, scalable and economic manner.
Among other things, we can fine-tune acoustic models to boost transcription reliability and detect different channels-conversations within the recordings to differentiate the customer from the operator. All of which in multiple languages.
Maintain the agreed service standards and quality criteria by means of ongoing audits that automatically control
the contents of each call and assess the defined quality parameters.assess the defined quality parameters.
Check for example that the caller: