Digital Product Consultancy
Turning complexity
into user value.
I work with founders and organisations to define what to build, why it matters, and how to ship it with confidence.
Digital Product Consultancy
I work with founders and organisations to define what to build, why it matters, and how to ship it with confidence.
Projects where I've driven measurable, lasting change.
Digital Product Optimisation / Commercial Growth · Consumer Healthcare, UK
0-to-1 Product Discovery / Product-Market Fit · Early-Stage EV Infrastructure
Conversion Optimisation / Digital Experience · Independent E-commerce, Retail Floristry
Brand Strategy / Social Commerce · UK Fashion, TikTok Shop
A London-based florist with a strong walk-in trade and a loyal local following had built an online store but was seeing heavy traffic and weak conversion. Seasonal campaigns were driving visits. Almost none of them were turning into orders. The founder assumed the problem was pricing. It was not.
Started with the data before touching the product. Analysed session recordings, drop-off points, and checkout abandonment rates to build a clear picture of where and why users were leaving. Three issues surfaced immediately: delivery date clarity was buried, product photography was inconsistent across categories, and the checkout asked for account creation before purchase.
Ran lightweight user interviews with eight existing customers and four who had abandoned at checkout. The recurring theme was trust. Buying flowers online is time-sensitive and emotionally loaded. Users needed to feel certain the order would arrive right before they committed.
Redesigned the purchase flow around delivery confidence. Moved the date selector to the product page rather than checkout. Introduced a prominent same-day and next-day delivery indicator tied to a postcode check. Removed the forced account creation step entirely. Worked with the founder to reshoot the top twenty product lines with consistent natural light photography.
Conversion rate improved by 18% over the following two months. Checkout abandonment fell noticeably, particularly on mobile. Average order value edged up as clearer basket-stage prompts made upselling feel helpful rather than pushy.
Client details withheld under confidentiality agreement.
A seed-stage startup with hardware backing and a founding team of engineers had a working EV charger and no clarity on who their first customer actually was. They were simultaneously pitching fleet operators, residential developers, and retail car parks. Three different buyers, three different problems, one under-resourced team.
Ran a focused discovery sprint across six weeks. Conducted structured interviews with fifteen prospective customers across the three segments to separate genuine demand signals from polite interest. Mapped each segment against willingness to pay, sales cycle length, integration complexity, and the team's realistic ability to serve them at stage. Introduced a basic assumption log to force the founding team to distinguish what they knew from what they believed.
From the research, one segment emerged clearly: commercial fleet operators with fixed depot locations. Predictable charging patterns, bulk contract potential, and a willingness to pay for reliability data over raw charging speed. The other two segments were deprioritised for the first eighteen months.
Translated findings into a lean product brief covering must-have features for the fleet use case, a positioning framework for early sales conversations, and a three-stage roadmap from pilot to commercial rollout.
Founding team entered their Series A process with a defined ICP, a single validated use case, and two signed pilot agreements with regional fleet operators. Product scope reduced by 40% against the original build plan, cutting estimated time to pilot by ten weeks.
Early-stage engagement. Client details withheld under confidentiality agreement.
A national healthcare provider's digital product was generating traffic but converting poorly. The gap between user intent and product response was costing the business measurable commercial opportunity.
Ran structured discovery across the consumer journey to identify drop-off points. Worked with design and commercial stakeholders to realign the digital experience with user intent at each stage. Introduced a prioritisation framework that balanced short-term commercial targets with longer-term product quality, keeping both teams aligned without sacrificing either.
8% uplift in sales directly linked to the redesigned digital journey. Stakeholder alignment improved enough to reduce time-in-review on new features by several weeks per cycle.
Client details withheld under confidentiality agreement. Full case study available on request.
A new UK fashion brand was entering the market with minimal creative assets, no social presence, and no established route to customers. The founding team had strong product instincts but no brand infrastructure, no content strategy, and no framework for turning a TikTok audience into paying customers. They needed to go from nothing to a credible, commercially active brand. Fast.
Started by establishing the brand foundations. Worked with the team to define positioning, visual identity, and tone of voice from the ground up. The existing logo was refreshed and creative assets were built to a standard that could perform in a fast-moving social environment.
Developed a content strategy built specifically around TikTok's commerce mechanics. Rather than chasing reach for its own sake, the strategy was designed to convert, using live shopping as the primary sales channel and product listings optimised to reduce friction at the point of purchase. Content pillars were structured around trend responsiveness and product storytelling, giving the team a repeatable system rather than a one-off campaign.
Set up the TikTok Shop infrastructure end-to-end: storefront, product catalogue, live shopping workflows, and the operational processes to keep it running consistently. Coached the team on how to show up credibly on camera and how to leverage TikTok's algorithm in the early growth phase.
Revenue projections met within three months of launch, driven by engagement and order volume through the TikTok Shop. The brand moved from zero presence to an active, revenue-generating social commerce operation, with a content and live shopping system the team could own and scale independently.
Client details withheld under confidentiality agreement.
Product Strategy
April 2026
Most founders wait too long. By the time they bring in product leadership, the roadmap is a wishlist, the engineering team is building on instinct, and the business has quietly drifted away from what customers actually need. The fractional PM conversation happens in crisis mode rather than growth mode.
It doesn't have to be that way. There are clear signals that tell you when product leadership will create the most leverage — and they show up earlier than most people expect.
As a founder, every hour you spend deciding what goes on the roadmap, mediating between engineering and design, or writing user stories is an hour you're not spending on the business. When product decisions start consuming your calendar, you've outgrown the founder-as-PM model.
Features are shipping but nobody can articulate who they're for or what problem they solve. The roadmap is driven by the loudest customer, the most recent sales call, or gut feel. This is a product leadership problem, not an execution problem.
Investors want to see product thinking, not just product output. A fractional PM can help you frame your roadmap as a strategy, sharpen your positioning, and make sure what you're building tells a coherent story.
A full-time Head of Product is expensive, takes months to hire, and requires onboarding time you don't have. A fractional PM is in, effective, and creating value within days. For companies between seed and Series A, it's often the right model.
If two or more of these sound familiar, the timing is probably right. The earlier you bring in product leadership, the less damage there is to undo.
Product Development
March 2026
There are two fundamentally different product challenges, and they require almost opposite approaches. The first is building something from nothing — finding a problem worth solving, validating that people will pay for a solution, and shipping a first version that works. The second is taking something that already works and making it work better — improving conversion, reducing churn, expanding to new segments.
Confusing the two is one of the most expensive mistakes in product. Teams that are great at optimisation often fail at 0 to 1. Teams built for discovery struggle when they need to scale.
In the early stage, speed of learning matters more than speed of shipping. You need to be comfortable with ambiguity, willing to throw away work, and ruthless about killing assumptions. The goal is not to build the right product — it's to find out what the right product is. That requires a very different muscle than execution.
Once you have a product in market with real users, the challenge shifts. Now you have data, and the question becomes how to use it. Good optimisation is disciplined — it's about running clean experiments, understanding causality rather than correlation, and making incremental improvements that compound over time.
The honest answer is most companies are doing both at once, which is why it's so easy to get confused. The best product teams are explicit about which mode they're in at any given time — and they staff and process accordingly.
Agentic AI
February 2026
The term gets thrown around a lot. Agentic AI, AI agents, autonomous systems — the language moves faster than the understanding. So let's be precise about what it actually means and where it creates real value for product teams today.
An AI agent is a system that can take a goal, break it into steps, use tools to execute those steps, and adjust based on what it finds — without a human directing each action. That's meaningfully different from a chatbot or a co-pilot. The agent is doing work, not just assisting with it.
For product teams, the highest-value applications right now are in research and synthesis. User interview analysis, competitive landscape mapping, support ticket triage, and first-pass requirements drafting are all tasks where agentic AI can compress hours into minutes without sacrificing quality. The human stays in the loop for judgement and decisions — the agent handles the grunt work.
Anywhere the cost of a mistake is high and the task requires genuine contextual judgement. Autonomous roadmap prioritisation, unreviewed customer-facing copy, and anything touching sensitive user data are areas where the current generation of agents create more risk than value.
The teams that win with agentic AI in the next two years won't be the ones who automate the most. They'll be the ones who are most deliberate about where human judgement still matters — and ruthlessly efficient everywhere else.
Deep expertise in the areas that make or break digital products. No generalist playbooks, just the right skill at the right stage.
I own the product function end-to-end. Strategy, prioritisation, stakeholder alignment, and delivery. You get a senior product mind without the overhead of a full-time hire.
Before you build, you need to know who you're building for. I run structured discovery to validate demand, sharpen your ICP, and make sure your first real customer isn't your last.
Design that earns its place. I connect user research directly to product decisions, turning insight into experiences that convert, retain, and scale.
Ideas made tangible, fast. High-fidelity prototypes that let you test with real users, pitch to investors, and iterate before a single line of production code is written.
I help teams identify where agentic AI creates real leverage and then build it in. From scoping the right use cases to implementing AI-assisted workflows, the focus is always on measurable output, not novelty.
About ValTech
I'm Valon Musa, a digital consultant with 10+ years of hands-on experience across private sector, public sector, consultancy, and startups.
I specialise in Product Management and UX, working across discovery, strategy, and delivery to help organisations build products that actually ship and perform.
Whether you're a founder validating your first product or an established organisation that needs to move faster and smarter, I'm the person you call.
Let's Talk
Thinking on product, strategy, and the work of building things that last.