Optimising product lifecycle and maintenance through data analysis

citizenM

  • Customer case
  • Customer Experience
  • Data projects
hotel room

CitizenM wanted to improve the performance of different product generations in their hotel rooms. This specifically concerned sinks and showers, by improving models and technological, performance and design improvements from manufacturers.

The key question was how these in-room products affected hotel operations during the first years of their lifespan. The goal was to understand which product generations performed better and how this could optimise product lifecycles and maintenance processes.

We helped citizenM gain these data-driven insights and formulate concrete recommendations.

Approach

Our approach consisted of the following steps:

Mapping incidents

We analysed incident KPIs per hotel for specific room components, such as missed revenue, out-of-order and service rooms, incidents per room, and recurring or interconnected issues. This data was visualised and analysed per product category (e.g. showerheads, shower doors, drains, etc.).

Text analysis and variables

We refined incident logging by product category based on text analysis and analysed tickets for patterns. In doing so, we took into account environment, guest, organisation and product context affecting the data:

  • Environment: External factors such as weather, local events, weekdays vs weekends, light/water exposure and global events (e.g. COVID-19) have a major impact on data and product longevity. For example, hotels in Paris perform differently from those in Miami.
  • Guest: We included guest behaviour, including spending, length of stay, perception, type of guest and occupancy. High turnover increases cleaning frequency, which affects product longevity.
  • Organisation: We normalised the data by room-internal comparisons and analysed operational factors such as maintenance and cleaning, including spares, repairs and maintenance.
  • Service or product: Product generations, design, materials, subassemblies, serviceability and quality influence service life and performance.
cycle

Input from the maintenance team

We gathered feedback from citizenM's maintenance teams through surveys and panel interviews. This helped us understand how preventive maintenance was conducted, which solutions were applied, and where improvements were needed. It also revealed differences between hotels in the US and Europe.

Results

The analysis provided the following key insights:

  • Product performance: We identified product generations that performed better and recommended preventive actions for products prone to defects. What will reduce incidents and increase room availability and product lifetime cycle time.
  • Incidents during hotel openings: We discovered that incidents were more frequent in the first weeks after a hotel’s opening. Our recommendation was to involve maintenance teams from the start, including during room design, and to provide clear installation instructions to the handover team.
  • Cleaning processes: More efficient cleaning processes reduced incidents in some hotels, as issues were detected, addressed, or prevented more quickly.
  • Analysis period: We concluded that a longer analysis period (more than two years) will lead to better insights into trends and patterns.

Future

Based on these findings, we are now conducting a root cause analysis of specific incidents. The citizenM teams have already started implementing the recommendations, and we continue to monitor the impact to see if incidents decrease.

Additionally, we are exploring how predictive maintenance can help reduce incidents. These insights will further support citizenM in optimising their maintenance processes.

The experience of the client

Also want to improve the product lifecycle or maintenance processes?

Danny will be happy to talk to you about what we can do for you and your organisation as a data partner.

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Data-driven web and customer experience optimisation

Eneco customers can enter into or change an energy contract via the website, but also purchase a charging station or hire an energy coach, for example. Eneco wanted to bring in more expertise regarding the field of digital analytics. We helped Eneco find an extra Web analyst with whom this ambition could be fulfilled.

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From data to action for public services

There's no denying it. We all work with data and we generate huge amounts of new data every day. The data on our supermarket customer card, the disposal of household waste at the smart container, checking in with public transport, the number of hours our TV is on or refilling our parking meter. But how do you use that data effectively?

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Clear dashboards for the IC team during the Corona crisis

In times of the coronavirus (COVID-19), a good overview of the patients in the scaled-up intensive care of the Utrecht medical centre is vital. Employees must be able to view patient characteristics, the most current lab readings and the course of patients' vital signs at a glance. In addition, up-to-date insight into the bed occupancy per department and the capacity of the nursing staff is required. We immediately got started to provide the necessary insights for UMC Utrecht. As a way of also contributing in these times of crisis, we offered our hours free of charge.

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A new tagging structure for the App and website

Univé is the only Dutch insurer with a website, App and physical stores. They therefore follow an omni-channel strategy. According to its own '1 digital front door principle', the insurer also wanted to offer customers the opportunity to take out/change insurance policies and report damages via the App. They asked our Data Analysts to make the new funnels measurable.

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Measurable impact Service Design team on UX internal tools

KLM Digital Studio builds innovative digital solutions to make working at KLM more efficient, effective and enjoyable. One of the teams within Digital Studio, the Service Design team, is concerned with user experience. They conduct user research, build designs and test design ideas for new digital solutions. KLM asked us to provide insight into the impact of this team on the UX of its internal tools.

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The proven added value for Fietsvoordeelshop

Fietsvoordeelshop has seven physical stores and a webshop. It is one of the most successful bike shops at the moment. In the field of data, the bicycle shop mainly worked with Excel. This means that a lot was done manually, every week. Due to the growth of the organisation and the increasing number of processes, the Excel file became increasingly large and unclear. Fietsvoordeelshop asked us to demonstrate with a data pressure cooker of five days that data-driven work could be of added value.

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A structured, scalable tag plan for Mijn Vattenfall

Nuon became Vattenfall in October 2019. The rebranding was a good reason to optimise Analytics. There was a renewed focus on applying insights from user data in the Mijn Vattenfall environment. The data collected for this was not always reliable. In addition, there was insufficient knowledge and capacity within the department to maintain the Analytics. The energy supplier asked for our help to support them in re-establishing the tagging and analytics of Mijn Vattenfall.

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Standardise Adobe Analytics implementation for complete insight into the customer journey

Within KPN, one team is responsible for the implementation of Adobe Analytics, the Digital Performance team. Due to the working method that had developed before the formation of this team, the specialists did not work together optimally.

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Product analytics for essential insights into usage and usability

KLM employees work with various applications on a daily basis. For example, the ground staff uses Appy2Help. This digitises work processes and supports employees in answering all questions from passengers. iMech helps to free up more time for maintenance instead of administration and the intranet is my. klm is the starting point for everyone within KLM to find information. KLM asked us to support various teams in developing good applications using insights from user data.

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5 metrics for optimising the Customer Experience

As Customer Experience Specialists at Digital Power, we regularly come up with 5 metrics that help us measure user quality. With this we are taking the first steps in optimising the Customer Experience. We are happy to walk you through all 5 of them. Are you going to use them from now on to analyse the user experiences of your product or service?

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Customer Experience trends

When we talk about Customer Experience, we mean virtual assistance in the form of voice and chatbot applications. It is expected that these will make interaction with the customer more accessible and easier. Companies like to go along with these kinds of innovative trends to improve their services. Is this indeed what Customer Experience Optimisation is all about?

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Determining the location of gardens using Data Science

Residential investor Vesteda is working on a new website. If an available rental home has a garden, the location of the garden must be listed on the webpage of that home. This information was not yet available in the database. We were instructed to determine the location of the garden based on the coordinates of the homes.

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Customer Experience Optimisation: a structured approach

More and more organisations are aware of the impact of the customer experience on business results and competitiveness. Research shows that 84% of organsations prioritise customer experience more than they did two years ago. In fact to 76%,  it is high or top priority. Further research shows that the customer experience is essential to the marketing strategy according to CMOs.

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Step by step data-driven working with the Digital Power Building Blocks model.

RetailTrends is a family business with a media platform for retailers. Over the years, the company has developed from a publisher of a single print magazine to a multimedia platform. This consists of two websites with news and background articles about the industry; a print magazine; an online magazine; and events. Interested parties are kept informed via various newsletters and social media channels. Some of the content is only accessible to members.

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Application of Natural Language Processing (NLP) and text mining for process improvement.

Fair Wear is a non-profit organisation that aims to improve the working conditions of employees in garment factories. The NGO has collected a lot of documentation about its activities in recent years, for example in the form of reports from a complaint line for factory employees, reports of audits that check whether factories comply with the guidelines, and reports of training for factory employees. This information is stored as typed text, usually in Word or PDF format.

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More employee engagement using inspirational sessions about the employee experience

In the tight labour market, professionals no longer choose their new employer only because of the employment conditions. Increasingly, they decide whether or not to come on board and stick around based on employee experience. The 'employee experience' is therefore important in all phases. Not only at the recruitment and selection level, but also, for example, when processing a claim.

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Customer Experience Optimisation

Residential investor Vesteda is working on a new website. This must offer (potential) tenants and B2B customers, such as investors and pension funds, an optimal online experience. Buyer personas of the various B2C target groups had already been developed. Together with Vesteda, we also started to map out the B2B target groups. In addition, together with the customer, we developed the optimal customer journeys for the most important buyer personas.

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More online conversions thanks to an improved UX thanks to a user experience review

A Smart Security Scan is a tool that allows you to test the security of websites. The reports showed that something went wrong in the flow where people have to verify their IP address to be able to scan. We went looking for a solution. We also gave tips to optimise online conversion.

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App optimisation for a better user experience

'How do we make our app more accessible to people from Vietnam?' During a Learning @ Location Day, our multi-disciplinary team of data professionals worked on this Oxfam Novib challenge.

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Call reduction thanks to digitisation of customer service

'How do we reduce the number of calls to customer service asking: where is my package?' During a Learning @ Location Day, our multi-disciplinary team of data professionals worked on this PostNL challenge.

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More relevant insights from Google Analytics

'How do we extract more relevant insights from our data using Google Analytics?' During a Learning @ Location Day, our multi-disciplinary team of data professionals worked on this Nespresso challenge.

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Higher customer satisfaction and increased conversion by setting up an A/B test environment

Vodafone started a 3-month 'digital boost' project with the aim of improving the conversion of the online shop. The project team consisted of external digital professionals, each with their own specialism. As part of this project, we set up an A/B test environment with the aim of improving the user experience and thus increasing conversion.

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