What we do/Product Discovery & Strategy

Product Discovery & Strategy

The Most Expensive Engineering Work Is Building the Wrong Thing.

Most product failures are not engineering failures. The problem was decided upstream, in the framing of what to build and why, before a line of code was written. Most product failures are not engineering failures. The problem was decided upstream, in the framing of what to build and why, before a line of code was written.

Seamless HR Integration

Automated HR workflows using APIs, improving efficiency, accuracy, and cross-system data consistency.

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Secure Digital Learning

Developed secure tablet OS enabling safe, scalable eLearning access across African educational networks.

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Intelligent Billing Insights

Built Power BI dashboard providing real-time billing analytics, enhancing transparency and decision-making efficiency.

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Product Discovery & Strategy Capabilities for Founders and Product Leaders

Partnered with us :

Product Vision & Opportunity Framing
Define what the product is, who it serves, what problem it solves better than alternatives, and why now. Vision framing that creates alignment across leadership, engineering, and commercial teams and provides a stable strategic anchor as tactical decisions evolve.
Product Roadmap Development
A roadmap that sequences work against strategic priorities, market timing, and engineering constraints. Tradeoffs made explicit rather than obscured. Structured for communication with investors, engineering teams, and commercial stakeholders simultaneously.
MVP Definition & Scoping
Define the minimum viable product that tests the core hypothesis with the minimum engineering investment required to generate meaningful market signal. What must be in the MVP to be credible. What can be deferred. What the success criteria are. MVP scoping that prevents over-engineering first versions and accelerates the feedback loop between product and market.
Jobs-to-be-Done Framework
Understand what users are actually hiring a product to accomplish, independent of the features it currently offers. JTBD analysis to identify unmet needs, underserved segments, and competitive vulnerability. Product priorities reframed around genuine user motivation rather than assumed feature requirements.
AI Product Strategy
Define how AI capabilities integrate into your product to create genuine competitive differentiation rather than surface-level feature addition. Identify the specific AI opportunities within your product context, the data requirements and architectural implications of each, and the sequencing against your roadmap. Grounded in what is technically achievable on your current platform and what changes are required to unlock what is not.

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Real-World Use Cases Across Products and Industries

Streamlining HRIS Workflows with API-Driven Workato Automation

Automated HRIS processes, reducing manual effort and boosting data accuracy with Workato.

Optimising Subscriber Billing through Automated Power BI Reporting

Automated billing reports improved accuracy, streamlined processes, and accelerated business decision-making.

Built with the Right Stack, Engineered for Impact

From performance to scalability, the right tech stack makes all the difference. We build with proven frameworks to deliver secure, fast, and future-ready solutions.

FRONTEND

Designing intuitive, responsive APEX interfaces that enhance usability, streamline workflows, and deliver seamless user experiences across devices.

ReactJS
Angular

Reduction in Misaligned Build Costs

Faster Time to Market Validation

Decrease in Post-Launch Pivots

Strategy Before the Build

We establish the strategic foundations that determine whether your product succeeds before engineering costs are committed.

Strategy Before the Build

We establish the strategic foundations that determine whether your product succeeds before engineering costs are committed.

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WHY CHOOSE US?

Founder-Focused Approach
Hypothesis-Driven Scoping
Roadmap Built for Stakeholders
AI Strategy Expertise
Tradeoffs Made Explicit
Outcome-Anchored Thinking

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Results & strategies from projects that drove success

Every challenge taught us something. Every solution made a difference. Explore case studies and white papers that capture the results we've achieved together with our clients.

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How We Taught an Enterprise Compliance Platform to Guide Its Own Users

This case study explores how AI was embedded across both orchestration logic and the user experience layer to align system intelligence with user guidance. It shows how enterprise platforms can reduce complexity, improve adoption, and support users without compromising control or scale.

Artificial Intelligence

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How We Built a Platform That Knows Who You Are Before You Say a Word

This case study explores how role-aware personalization was implemented as a native AI capability within enterprise systems. It shows how software can adapt to users in real time, surface relevant actions, and remain powerful without becoming complex.

Artificial Intelligence

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Intelligent Automation as a Native Enterprise Capability: Moving Enterprise Operations Beyond Scripts and Manual Effort

This case study explores how intelligent automation was implemented as a native enterprise capability rather than a collection of scripts or RPA flows. It shows how AI-driven orchestration can reduce operational effort, improve reliability, and keep human judgment where it matters most.

Artificial Intelligence

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Making Voice AI a Native Enterprise Capability: Architecting Conversational AI for Real Operations, Not Experiments

This case study explores how Voice AI was architected as a core enterprise capability rather than a surface-level tool. It shows how conversational intelligence can move beyond pilots to become a dependable part of daily operations in healthcare and elderly care environments.

Artificial Intelligence

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The Experience we create with Technology is Everything!

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Case Studies

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FAQs

Conviction is an asset, not a problem. Our role is not to challenge it but to stress-test the assumptions underneath it. We work through the problem framing, the user motivation, the competitive landscape, and the architectural implications of the proposed direction — surfacing the risks and gaps that conviction alone cannot see. The output either strengthens the original direction with a clearer strategic foundation or reveals where specific assumptions need to be validated before engineering investment is committed.

Standard prioritisation exercises rank features against each other. Our roadmap development works backwards from strategic outcomes — market timing, investor milestones, engineering constraints, and commercial priorities — and sequences work against those anchors. Tradeoffs are made explicit rather than obscured, so leadership, engineering, and commercial teams are aligned on what is being deferred and why, not just what is being built next. The roadmap becomes a communication tool as much as a planning tool.

MVP scoping is a hypothesis problem, not a feature problem. We start by defining the core assumption the product needs to test — what must be true for this product to succeed — and then determine the minimum build required to generate credible market signal against that hypothesis. What is included is defined by what is necessary to make the test valid. What is deferred is everything that does not affect the signal. The result is an MVP that is lean enough to ship quickly and substantial enough to tell you something real.

Standard user research typically surfaces what users say they want. JTBD analysis identifies what users are actually trying to accomplish and why existing solutions — including your current product — fall short of that goal. The distinction matters because users do not always articulate the real motivation behind their behaviour. JTBD reframes product priorities around genuine unmet needs rather than assumed feature requirements, which often reveals that the highest-value opportunities are not the ones the team was already planning to build.

This is one of the most common strategic questions we work through. The starting point is not AI capabilities — it is the specific jobs your product does for users and where AI can do those jobs meaningfully better than the current approach. We identify the AI opportunities within your product context, evaluate the data requirements and architectural implications of each, and sequence them against your roadmap based on what is achievable on your current platform and what requires foundational changes first. The output is an AI strategy grounded in product reality rather than technology possibility.

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Drop us your requirements, and we’ll come back with a clear plan on how we can support you.

“Choosing Cubet was the turning point in our project.”

Tech lead, Jendamark

"Working with Cubet felt like adding an extension to our core team."

CTO, SNO

"They understood our goals better than we did."

CEO, Trust Cyprus

“Choosing Cubet was the turning point in our project.”

Tech lead, Jendamark

"Working with Cubet felt like adding an extension to our core team."

CTO, SNO

"They understood our goals better than we did."

CEO, Trust Cyprus

Hear from our clients about their experience!

Testimonials & Success Stories

Committed Tech Partner

Our experience with Cubet has been awesome, and we are very thankful for their passion, flexibility, and commitment. We highly recommend them.

Frances Barkley, Head of DevOps & Strategic Marketing

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A Decade of Dependability

Over 10 years with Cubet, we’ve seen consistent dedication, adaptability, and a can-do attitude. Their creativity and problem-solving approach have significantly boosted our agility and operational efficiency, making them an invaluable extension of our team.

John Stuart, CEO-Fuell

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Skilled and Solution-Oriented

Cubet consistently delivers high-quality work and exceeds expectations. Building a remote vision control system for robotics is complex, but their team brought the right skills, patience, and drive—making the implementation process smooth and successful.

Tommy Jonsson, CTO, ByteMotion

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Agile, Insightful, Cost-Conscious

Cubet is our trusted partner, providing fast agile development and ongoing support for our BMJ platforms. They understand our needs and improve them with best practices. As a non-profit, we value the cost efficiency without sacrificing quality

Ruth Staunton , Head-Corporate Marketing, BMJ

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Consistent, Timely, Innovative

We’ve partnered with Cubet for years on a Medical EMR project. Their project management is consistently excellent, always meeting deadlines. Their developers actively look for innovative ways to improve our designs, adding real value to the collaboration.

Dr Hassan Shafeeq, CEO, BloomEMR

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Well-Orchestrated Collaboration

Cubet played a key role in building our mobile apps in 2020. What stood out was their tight coordination every phase, from planning to delivery, felt smooth, collaborative, and well-managed across months of focused teamwork.

Lyric Jain, CEO, Logically

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Trusted Growth Partner

My partnership with Cubet began six years ago and has steadily flourished. Collaborating with them on both personal product development and client projects has been a smooth experience, marked by professionalism, consistency, and shared success.

Anik Devaughan, CEO, Ozone

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Reliable Technology Partnership

Cubet has been a reliable technology partner for Odin Education. Their proactive approach, technical expertise, and commitment to delivering quality solutions have played a key role in supporting our mission to transform education through technology