We have published few posts about Hellon’s AI solution AINO, which aims to help organisations in managing their customer experience. In this post, we take a closer look on how AINO can help companies to better target their customer experience related investments.

 

We know that most organisations have a wealth of data at their disposal. We also know that these organisations have very little understanding on how to use the data properly and make optimal decisions based on it. According to Forrester Research, approximately 60% – 73% of the data collected by the organisations remains unused in analytics.

 

At Hellon, we have identified that the key challenge for developing customer experience is the endless list of different, alternative development objects. Typically, customer experience managers are considering, for example, whether they should invest in training the customer service staff, acquire new applications, train the management team or even move into a new business premises. There is no accurate information or measurements available on the impacts of the different investments on the overall development of customer experience. Many investments fail because understanding the customer experience in a big picture with all the dependencies is too challenging for a human being.

 

With AINO, we want to help organisations identify the best investment targets within customer experience to get the best return on customer experience. For evaluating the investments we have developed a service called AINO ROCX™, Return on Customer Experience. This is an approach and calculation model created by Hellon to model how to prioritize investments in the development of customer experience. AINO ROCX ™ analyses the organisation’s existing customer data using artificial intelligence and answers the question: Which combination of actions will result to the highest impact on customer experience and thus on the development of the customer value?

 

AINO ROCX™ provides accurate, data-based information on client experience conversions to the action plan. Alternatively, AINO will also build a data-based optimal combination of actions to achieve the maximum impact (conversion in customer experience). This will help the customer experience managers within the organisations to better anticipate the impact of different investments and to ensure that the invested money and time are used in a best possible manner.

 

Interested in hearing more about how AINO could help your organization manage the customer experience? Contact us:

 

Laura Franck, Client Service Director

moc.n1537939884olleh1537939884@kcna1537939884rf.ar1537939884ual1537939884

 

Niko Reunanen, Data Science Lead

moc.n1537939884olleh1537939884@nena1537939884nuer.1537939884okin1537939884

 

 

In our previous post, we introduced AINO, Hellon’s newly launched solution utilising artificial intelligence. Now we take a closer look at how AINO supports customer experience management and the process of making customer experience related predictions.

 

Anticipating and making predictions in the management of customer experience is particularly complex and challenging, as the customer experience is influenced by various factors. The ability of artificial intelligence to find patterns and draw conclusions from large amounts of customer data will take customer experience management to the next level.

 

With AINO, we can combine large volumes of various data sources and model the customer experience in a whole new way. This means that the context of the customer experience can finally be modeled as a whole phenomenon and thereby create predictability for the development of customer experience. In practice, AINO can predict, for example, the life cycle of customer relationships and customer deprivation from a new perspectives (such as: What customer experience related factors affect a customer churn in a particular customer segment? Or which investment target would guarantee the highest conversion to customer satisfaction?).

 

AINO helps to identify the relevant pain points as well as to introduce completely new opportunities out of the companies’ customer experience related data. Therefore, companies should invest the money reserved for improving their customer experience to the possibilities identified by artificial intelligence to really concentrate on improving the right things. In other words, AINO will help you to run to the right direction with full speed when it comes to developing your company’s customer experience.

 

AINO produces analysis and predictions on customer experience related factors that are measured within a company. This, in turn, creates a more relevant connection between customer experience and sales and customer relationship development. By understanding our customer experience and its relationship with sales and customer relationship development, we know how to develop customer loyalty. Through making predictions, AINO can also provide information, tools and solutions for the customer service staff, so they have better chances to succeed in their work and provide better customer service.

 

Above all, AINO is a customer’s voice brought to the management of the company in a relevant manner. AINO supports the top management in investment decisions, operational guidance, customer relationship management, as well as service planning.

 

Interested in hearing more about AINO? We’ll be happy to share more information on how AINO could help your company in managing the customer experience. Please contact us:

 

Laura Franck, Client Service Director

moc.n1537939884olleh1537939884@kcna1537939884rf.ar1537939884ual1537939884

 

Niko Reunanen, Data Science Lead

moc.n1537939884olleh1537939884@nena1537939884nuer.1537939884okin1537939884

 

 

There has been a lot of talk around artificial intelligence and new, related solutions are constantly being launched. When speaking of artificial intelligence (AI), the term translates into a multiple different meanings. Most common interpretation would be machine’s ability to imitate human thought and decision-making processes. In a wider scale, it can also mean decision-making or problem-solving performed by machines. In that context, it refers to the theoretical area of information technology, called machine learning. For example, a mathematical model can be taught to solve a problem by introducing a set of teaching examples, i.e. data. Thus, the computer program is taught to solve the problem without any particular programming. Machine learning is a creative process, as the potential findings and outcomes are not known in advance, or may not even be conceivable.

 

This spring, Hellon launched an AI solution named AINO, that utilises machine learning. AINO was created to help organisations to better manage their customer experience. AINO listens to consumers by handling large amounts of customer data and creates a deeper understanding in order to support the decision making processes. AINO produces an understanding that can be utilised in planning and managing customer experience, such as evaluating investments into customer experience.

 

AINO was created for the need to combine the quantitative and qualitative worlds of customer insight to provide a more versatile understanding of service design. Qualitative customer studies have always been at the heart of Hellon’s competencies. In-depth interviews and information gathering through various qualitative methods to identify the customer needs can be given as examples of the mentioned studies.

 

 

Enriching the qualitative world with the understanding produced by artificial intelligence completes the overall picture and adds more depth to the interpretations. An understanding based on large amounts of data provides more specific guidelines and a stronger assurance for decision-making, leaving less room for assumptions. AINO aims to help organisations better understand and pay closer attention to the needs of the clients. For people, handling such large volumes of data can be difficult and extremely time consuming, and in some cases totally impossible. This is where AINO proves to be useful by enabling the scanning and analyses of endless data bases while scaling the workload relevant in service design. We already know collecting data alone is not enough and AINO transforms the already collected data into real value.

 

The data utilised by AINO is companies’ own quantitative and qualitative data. It can be customer feedback data, employee feedback or any kind of survey data. In order for the information to be relevant, it needs to be customer experience related and to describe the customer experience as a phenomenon.

 

AINO helps to collect and identify the relevant pain points as well as to introduce completely new opportunities based on companies’ customer experience related data. We believe that it is not only essential to improve customer experience, but to improve the right elements of customer experience. Hence we think that the customer experience related investments should be focused on the possibilities identified by artifical intelligence. To date, AINO has been assisting the customer experience management in more than ten major Finnish organisations.

 

Interested in hearing more about how AINO could help your organisation in managing and developing your customer experience? Get in touch with us:

 

Laura Franck, Client Service Director

moc.n1537939884olleh1537939884@kcna1537939884rf.ar1537939884ual1537939884

 

Niko Reunanen, Data Science Lead

moc.n1537939884olleh1537939884@nena1537939884nuer.1537939884okin1537939884

In the recent years, Hellon has had the opportunity to apply service design approach to various organizational strategy processes. In January 2018 Hellon, together with State Treasury’s D9 digital team, facilitated a two-day workshop, The Sprint Towards Sustainable Growth, which is a great example of how participatory and user-centered approaches of service design can be applied to cross-administrative entities.

 

The Sprint Towards Sustainable Growth was facilitated for 25 participants from all the ministries in Finland, applying the “transition design” approach. During the sprint, participants within cross-ministerial teams, were inspired by different design methodologies and were guided to develop solutions on pre-identified large-scale social problems. The resulting solutions, the outcomes of the sprint, will contribute towards the Permanent Secretary recommendations for the next government. The work is not affected by political steering of the sitting government.

 

The two-day sprint was designed and organized by Hellon team, led by Design Director, Zeynep Falay von Flittner in collaboration with State Treasury’s D9 digital team and  Jouni Varanka, Chief Senior Specialist at the Prime Minister’s Office. The process  was influenced by the transition design approach and adjusted to the context as an experiment to explore new ways of working in government organizations.

 

 

What is transition design?

Transition design is an evolving discipline combining methods and theories of change, design and sustainability in order to drive societal transitions towards more sustainable futures. It deals with major social challenges, or extensive problems, such as climate change, eldering population or the prevention of marginalization. Experiments such as The Sprint Towards Sustainable Growth are tailor-made workshops in which we apply transition design and strategic design methodologies in new ways to reach innovative outcomes in public sector organizations.

 

Focus on the citizen’s perspective

Our experience from the The Sprint Towards Sustainable Growth strengthened our belief that applying the transition design approach in strategy work such as this will make it possible to position the citizen’s perspective more strongly in the center of ministerial strategy work in the future.

Why is it important to emphasize the citizen perspective in this high-level ministerial work? During the sprint planning process, Jouni Varanka, Chief Senior Specialist at the Prime Minister’s Office, recognized four systemic reference groups of policy making, consisting of different actors in our social ecosystem. Citizens and customers form the largest mass with their various hopes and needs – they use the services of society. The voice of this group is often subtle in comparison to the influentials (labor market, unions, media) and operators, which in turn produce services in the ecosystem (companies and organizations). Regulators are the smallest, but most influential group in the ecosystem. Their influence, for example, in the strategy process of the government program is traditionally the strongest. For regulators, the voice of the people may be heard weakly or filtered by voices of influentials and operators.

 

 

The Sprint Towards Sustainable Growth made use of videotaped interviews and profiles representing different citizen- and entrepreneurial perspectives to include their points of view in the work of strategic themes. In addition, the contradictions between the reference groups and existing possibilities for cooperation were taken into account in working towards the final solutions.

 

Workshop Outcomes

The feedback from participants in the Sprint Towards Sustainable Growth was mostly extremely positive. According to our feedback survey, participants rated the sprint as a good alternative to the current work group process and most respondents would very much like to participate in a similar sprint in the future as well. The participants considered the “intensive, systematic and interactive approach offered by the sprint to support consensus among different ministries” particularly useful. In addition, bridging perspectives through cross-ministerial debates and the citizen perspective was assessed as highly valuable.

 

The Sprint Towards Sustainable Growth proved, that in two days it is possible to tackle cross-ministerial, complex problems in our society by applying the transition design approach. It was possible to move from problematization towards the desired future status and create preliminary outlines of the features of the needed reforms.

 

 

The key benefits of transition design in public sector organizations:

  • Increased Synergies between the Ministries. In the Sprint Towards Sustainable Growth, societal themes were viewed through a joint problem-solving process for ministries.
  • Time saving. Instead of a long working group work process, certain work phases can be replaced by effective, facilitated workshops.
  • A human-centered approach. Societal themes were solved by bringing the citizen and entrepreneurial perspective to the center, whereby new possibilities enabled by interfaces between different actors could be identified.
  • Collaboration. During two days, ministry employees were able to share views and create new opportunities for cooperation in the future.

 

Are you interested in hearing more about the utilization of service design methods and the results achieved in our projects? Stay tuned for the second part of this blog post, coming out later this spring. In the second part we will go deeper into the transition design from the methodology point of view. In the meanwhile, we will be glad to tell you more about service design and how we can design tailor-made solutions to meet your organization’s needs.

 

For more information, please contact:

Pauline Ranta
Client Service Director
moc.n1537939884olleh1537939884@atna1537939884r.eni1537939884luap1537939884
+358415057255

My best friend wrote this in my high school yearbook: “I’ve lived through some things just so I can tell you.”

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