Cut 110K support calls through improved product experience

Cost saved with reduced calls
11,4 MNOK
Every customer support call carries a cost to the company. By reducing call volume, we saved 11.4 MNOK, ensuring the team could continue investing in product improvements.
Improving the product experience led to a reduction of 110K support calls, allowing the team to dedicate more time to complex user issues (Jan-Aug 2022)
Reducing simple inquiries freed the team to focus on more calls, boosting efficiency and response throughput.
Unnecessary calls reduced
110K
Answering rate of customer care centre
+24,1%
Hover over the results to learn more 👀

During my time at Elkjøp, I worked in the omnichannel customer support area, focusing on how customers interact with the store across multiple channels. Our team worked on creating a repair self-service PWA app and enhancing the customer service pages.

MY ROLE
As a product designer on the project, I leveraged analytics across multiple platforms, facilitated workshops to align stakeholders, and developed design solutions consistent with the company’s brand strategy.
Our team's mission was to understand why customers were struggling to get help and build a solution that empowered them to help themselves.
Problem statement

Customer support struggled to keep up with pandemic-driven online orders, leading to long queues when calling, slow email responses, and unnecessary in-store visits.

Customer touchpoints were distributed across multiple online and offline channels. Our team focused on improving email support linked to the e-commerce customer support pages, and call support.

Because call support represented the highest operational cost, it became a top priority in our product roadmap. In an omnichannel environment, optimising call support doesn’t just reduce phone volumes, but it positively impacts other touchpoints across the entire customer journey.

Insights that shaped our strategy

We suspected that costs were rising across most customer touchpoints, but we needed clarity on what was actually driving inbound contact. Our goal was to identify the most frequent reasons for calling and determine which services we could build to reduce them.

We ran user surveys on Elkjøp’s customer service pages across all four markets using Hotjar and regularly synthesised the results for the product team. In parallel, we conducted co-listening sessions in customer care centers, observing live calls to understand both how customers described their issues and how agents resolved them.

These activities revealed a clear pattern:

‣ Status of a repair,
‣ Delivery status,
‣ Return status.

These insights directly shaped our product strategy, allowing us to focus on developing self-service solutions that addressed the highest-volume call drivers first.
Discovery process

Creating ownership across the team in building new solutions


I facilitated a discovery workshop with our cross-functional team and together, we identified key opportunities and prioritised them using an impact–effort matrix. This process resulted in a clear, outcome-driven roadmap centered on three initiatives:

‣ Self-service repair status tracking: enabling customers to independently check the status of their repair, reducing the need to call support,

‣ Improved navigation and surfaced FAQs on customer support pages: helping customers find answers faster and deflecting common inquiries.

‣ Callback functionality for phone support: allowing customers to request a return call during long queues, improving experience and operational efficiency.


Given that call support was by far the most expensive channel, and in close collaboration with key stakeholders, we prioritised the development of a repair-status PWA. Our first design iterations focused on enabling customers to check the status of their repair on their own, with the goal of reducing call volume and improving the overall service experience.

Repair status self service

Empowering customers with the repair status self-service

We began by launching an MVP of the self-service in Sweden, using this initial release to collect real user feedback and inform the design of upcoming features already on the development roadmap. Because we had reliable data in place, we were able to iterate rapidly based on insights.

Below is a high level visual of our release process:


Following feedback collection, we released the MVP to a demo environment and then to production. Throughout the process, we adapted our approach to the capacity of dev team and stakeholders's requests. This  release process allowed us to learn fast, de-risk decisions, and ensure that each release delivered measurable value to customers and the business.

the main feature of the mvp is...?

Real-time repair updates and delay notifications

The customer walks into the store with a broken product. Together with the staff, they go through the intake process (describing the issue, logging the product, giving contact info).

Within 5 to 10 minutes the customer receives an SMS with a direct link to the repair status PWA. With a single tap, they’re in. No registration, no app download, no friction.

From there, the customer can follow every step of the repair: when it’s been received, diagnosed, repaired, delayed, or ready for pickup.

To develop the first iterations, we conducted multiple user interviews and shadowing sessions with all three roles using the existing Excel based process. This research helped us identify five key pain points for each user group. Using these insights, I facilitated a workshop with the full team to align on the findings, surface potential technical constraints, and agree on a path forward.

Stakeholders were part of every stage of the process as they are one of the validation actors as well.
Added value

Real-time delay notifications: no surprises, no frustration

Prior research showed that most customers contacted support about their repair status after approximately five days of waiting. This created unnecessary call-centre volume and frustration for users who felt uncertain during that time.

To address this gap, the MVP focused on proactive communication. Automatic status confirmations are now sent to customers on day four - before they typically feel the need to call.

This shift reduces inbound support calls while giving customers timely reassurance and a clearer sense of progress in their repair journey.

This feature significantly reduced the volume of calls by giving customers direct access to repair information.

After iterative testing and debugging, we added additional capabilities to further empower users: a cost estimate flow that allowed customers to decide whether a repair was worthwhile.
Because many of the products brought in for repair are high-value items, it was important to give customers control when repair costs became too high.

We introduced a clear decision flow within the PWA, allowing users to choose how to proceed based on the estimated repair cost.

Depending on the product and its condition, customers could select from three options:

Continue with the repair,
Scrap the item,
Request its return without repair.

This empowered customers to make informed financial decisions and significantly reduced unnecessary repair handling and follow-up calls.

This feature led to a sharp drop in calls in the Swedish market.

Consequently, customer care agents were able to dedicate more time to resolving complex issues that could not be addressed by frontline support or existing self-service tools.

Additionally, we were also focused to make browsing on the customer support pages easier and more intuitive.

Customer service pages

Working on customer service pages in parallel

The old customer support pages were overwhelming and uninformative. Customers couldn’t  find the email address for contact, and help articles were too generic. We redesigned the experience to make self-service the hero:

Placed the search bar and key self-service tools (repair tracker, chatbot, gift card balance, price match) at the top,

Highlighted the most common customer questions about repairs, payments, store hours, and delivery,

Added real-time waiting time estimates and clear alternatives (chat, phone, callback) as a fallback solution.

We frequently iterated this page in all four countries, depending on the time the customer needed to answer the phone, email or talking with the chatbot.
We progressively iterated on the customer help hub, introducing self-service tools that enabled users to resolve issues independently. Below these tools, we added an expanded FAQ section covering the full purchase journey.

Only after exploring these resources did customers reach agent support, where they were presented with two clear contact options (shown in the image on the left). These improvements were implemented individually for each Scandinavian market to account for country-specific needs.In close collaboration with customer support managers, we continuously optimised contact routing.

For example, when phone lines were congested over several days, we strategically emphasised the chatbot option to deflect simpler inquiries, reduce wait times, and better identify the root causes of peak demand.
Learnings
Using more effectively quantitative data
The client was using several tools (Happy or Not, Hotjar, GA), but initially we did not make full use of this data. It took a few iterations and several syncs with the product owner and business analyst before we established an effective way to store all essential data in a central repository.
Holistic overview of the release process in multiple countries
I discovered that multitasking is king (or queen 😉) as we began releasing the MVP across individual countries. Balancing product discovery, user testing, and preparing subsequent market launches strengthened my ability to manage parallel work streams. It also deepened my collaboration with the PO as we aligned closely on priorities, risks, and release readiness across markets.

And the story didn’t end there…

Beyond the solutions presented here, the project included important dimensions such as cross-functional collaboration, stakeholder alignment, and overcoming team-level challenges. I’m happy to share more about these behind-the-scenes learnings :)
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