Are you a final-year master’s student looking for a thesis project that blends real-world impact with cutting-edge tech?

At Framna, we are passionate about creating digital products that shape markets and make everyday life better - and we want you to be part of it.

Every year, we welcome a group of master’s students into our Stockholm studio to spend their final semester with us. You will sit alongside our developers, designers, testers, analysts, and product delivery leads, get a place to sit in our cozy office, and join our social and learning activities - from lunch-and-learns to our weekly Friday demos and AWs. It is a chance to do your thesis in a collaborative setting, surrounded by people who are happy to share what they know.

Background

Mobile apps have always been designed for human users. But AI agents are increasingly being asked to use apps on people's behalf, completing bookings, filling forms, changing settings and retrieving information. Most apps were never built with this in mind.

Being operable by an agent is becoming a product requirement, much like being findable by a search engine once was. We do not yet have a clear picture of what makes an app agent-ready, which control surfaces work best, or what properties of an interface determine whether an agent can operate it at all.

In this thesis project, you will define a benchmark of realistic user tasks across one or more mobile apps and evaluate how reliably AI agents can complete them through different control surfaces: reading the app's accessibility tree, working from screenshots, or using explicitly declared capability interfaces.

What you will do

Some potential tasks within this thesis include:

• Defining a benchmark of realistic user tasks such as completing a booking, changing a setting, filling a form, or retrieving specific information

• Evaluating agent performance across three control surfaces: accessibility-tree navigation, vision-based control from screenshots, and declared capability surfaces such as App Intents or App Actions

• Measuring task completion rate, steps taken versus optimal, latency and token cost per task, and recovery from mistakes

• Documenting failure modes such as getting stuck, acting on the wrong element, or completing the wrong task

• Identifying what makes an app easy or hard for an agent to operate, from accessibility labelling to custom components and modal flows

• Recommending which actions an agent should be able to take on its own, and which should require the user to confirm

Who you are

This thesis may suit you if you:

• Are interested in mobile development, HCI, or AI agents

• Are curious about how apps need to evolve as AI agents become a new category of user

• Enjoy building benchmarks, running structured experiments, and drawing out practical implications

• Plan to start your master's thesis project in January 2027

• Have the opportunity to work from our Stockholm studio

About Framna

Framna means ‘to bring forward’ in Old Norse. And that is exactly what we do. We partner with industry leaders (and those about to be) to create excellent digital products that define markets, reshape industries, and deliver meaningful impact.

Born from the union of digital agencies Bontouch, Move, and Shape, Framna emerged from a strong, product-led culture. Today, over 600 of us collaborate across ten studios in Denmark, the Netherlands, Poland, Sweden, Switzerland, and the US.

Every day, millions of users around the world rely on the products we help shape. From seamless payments to daily commutes, from better health management to smarter shopping. Our work supports more than €150 million in daily transactions and consistently earns an average App Store rating of 4.5.

Together with some of the world’s most ambitious brands, including Essity, SJ, Swish, and SEB, we craft products that lead markets and push boundaries. Because when products win, businesses win. We call it Win by product.

Our hiring process

• Psychometric assessment - personality and logic test

• Interview with our recruiter

• Case assignment

• Case interview