Deep dive into the data and gather insights

WHAT: Collect user data

Once we have gained an understanding of the user’s needs, challenges, and behaviour, we will need to analyse another set of data to further refine our approach and create a hyper-personalised experience.

Online traffic data

can provide valuable information about user behaviour, such as how many users are visiting the website/ app, how long they are staying on the channel, and which pages they are visiting most.

Call centre data

can be analysed to gain insights into common user questions and concerns and areas of complaints.

Social media metrics

such as likes, shares, and comments on government social media.

Survey data

can be conducted online, via email, or through phone calls. They typically involve asking a set of standardised questions to a large group of users to collect data on their behaviours, preferences, and attitudes.

Transactional data

as payment history or service application data can provide insights into user needs, behaviour and preferences.

Customer feedback

such as reviews and ratings, can provide data on how users perceive your product. By analysing trends in feedback over time, you can identify common pain points and prioritise improvements.

HOW: Tools to define insights
Hyper-personalisation relies on a set of tools and technologies to define user insights:

In-house dashboards

Reporting tools

Government services observatory

AI algorithms domains including Machine Learning (ML), Natural Language Processing (NLP) and Large Language Model (LLM)

Cross-channel journey analysis

Entities need to continuously measure and optimise the personalisation strategy based on user feedback and performance metrics. This helps to improve the relevance and effectiveness of personalised experiences over time.

WHY: Bringing it to life
Improved citizen engagement

By providing personalised experiences and tailored service options, Hyper-personalisation can improve citizen engagement with government services and increase satisfaction with those services.

Better outcomes

By providing more personalised and relevant services, Hyper-personalisation can improve outcomes for citizens and increase the effectiveness of government programs.

Enhanced efficiency

By leveraging citizen data to personalise service delivery, government agencies can improve efficiency and reduce costs by streamlining processes and providing targeted services.

Increased trust

If done correctly, Hyper-personalisation can increase citizen trust in the government by showing that the government cares about each citizen’s unique needs and is working to provide tailored solutions to their problems.