Customer Journey: Repetitive task

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I’ve been working with an artist in order to draw up a simple customer journey... and here it is!

2026 notes: Things have changed a lot since then.

Customer journey

I’ve been working with a cartoonist to draw up a simple customer journey, and here it is!

This started out as a very scrappy set of sketches on my remarkable idea of having a storyboard for a user story.

It's been a 2-month process to boil it down to this simple customer journey, but the result is far better than I was hoping for. 😊

Fig 1.: Title page

The artworks here are provided by the very talented artist wilustrador. I found and contracted him using Fiverr. The cost for the work was about 500-600 USD/EUR. I’m really happy with the result as it brings the whole idea to life.

+2 mins reading, +5 images

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Fig 2: The problem to solve

Our customer has a small business making all sorts of gadgets. For one such project, he requires 500 units to be assembled from a few parts. Rather than contract a person or outsource to a factory, he decides to order a robot to perform the work.

Fig 3: The Robot Operations Centre

Enter our team to help out. This is the robot operations centre. The customer calls a business builder to discuss the scope of the project and hopefully book a robot. Then the robot is delivered to the customer’s office. It will then be controlled remotely by a dedicated robot driver who works from the Operations Centre.

Fig 4: First day on the job.

Once the robot is on-site, the robot driver and the customer take a video call. Together they guide the robot to the workstation.

At the workstation, the robot sets up some portable cameras to get a good view of the project.

Then, assembly work begins immediately and the customer can now leave to focus their attention on other projects.

The robot driver is now remotely assembling the gadgets.

Fig 5: Automating and adding services

While the robot driver begins the “hands-on” assembly process, an optimisation specialist begins the process of collecting data so that the task can be automated.

First, she will break the task down into small steps. Then, she will then begin to outsource these steps to experts or to software that will automate the work.

Furthermore, all the data is collected for AI training. Gradually the hands-on work is reduced, and automation takes over.

Here we can also see an example of an expert performing an inspection as an add-on service. In this case, the customer has a privacy filter that uses Augmented Reality (AR) to obscure some propriety information (the white pixelated text) on the product. This feature enables the customer to protect sensitive data while still benefiting from third-party services.

Fig 6: Productivity 24-by-7.

By the end of the first day, most of the assembly work is being automated using low-cost methods. The remote responsibility is then handed over to follow-the-sun robot operations. This is a 24-hour safety and quality monitoring service allowing work to continue, even when the customer has left work for the day.

When the project is finally complete, the robot goes home like any other employee (for maintenance and upgrades 😂).

Included in the service is a professional quality assurance report with a full assembly video of every unit produced.

It’s all about the data.

In the end, the service is intended for on-demand medium-sized tasks. It competes on reliability and traceability by providing 100% documentation on everything it does.

The robot will very often compete on cost and delivery time, right from day one. However, the unbeatable value will come over time as all data is collected from multiple jobs and used to continuously train and improve automation methods.

The end.

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