UK

United Kingdom · Innovation Intrapreneurship · Mid-Level (2-5 years)

Innovation Lab Specialist

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Innovation Lab Specialist or Innovation Lab Manager
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Experimentation Specialist · Venture Builder (Mid-Level) · Innovation Associate

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Innovation Lab Specialist

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

This role is all about getting your hands dirty, taking raw ideas, and turning them into real, testable experiments. You'll be the one building the prototypes, talking to customers, and figuring out if something actually has legs before we invest serious cash. It's a hands-on job where you'll learn by doing, often failing, and then trying again.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Miro / MuralIntermediate

Building journey maps, empathy maps, and facilitating basic brainstorming sessions using pre-made templates. You'll use this for visualising ideas and user flows.

Figma / BalsamiqBasic

Creating low-fidelity wireframes and clickable prototypes from well-defined user stories to test with customers. You're not a designer, but you can get ideas across.

Airtable / NotionIntermediate

Tracking experiment backlogs, logging user feedback, and managing your personal tasks within a pre-built base or workspace. This keeps your work organised.

UserTesting.com / HotjarIntermediate

Setting up and running pre-scripted usability tests and heatmaps. You'll analyse recordings to identify basic usability issues and user behaviour patterns.

Excel / Google SheetsIntermediate

Used for basic venture modelling (e.g., quick revenue projections for an MVP) and tracking experiment results. You'll need to be comfortable with formulas and basic data manipulation.

PowerPoint / Google SlidesIntermediate

Creating clear and engaging slides for project updates, experiment findings, and internal presentations. You'll need to tell a story with your slides, not just dump text.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing inWhere you are nowThe step above
Experiment Design & MethodologyProposes designs for review; all decisions require manager approval.Independently designs and executes routine experiments; consults manager on novel or high-risk approaches.Defines experiment strategy for entire ventures; makes final calls on methodology for most projects.
Tool Selection (within existing stack)Uses tools as instructed by senior team members.Chooses appropriate tools (e.g., Figma vs. Balsamiq) for specific prototyping tasks.Recommends new tools for the lab; defines best practices for tool use across the team.
Budget Allocation (for experiments)No budget authority; requests resources from manager.Authority to spend up to £1,000 per experiment for testing resources (e.g., ad spend, user testing incentives) with manager's prior approval for the overall experiment.Manages experiment budgets up to £5,000; can approve minor deviations without direct manager sign-off.
Project Direction (Pivot/Persevere)Presents findings; manager makes the decision.Presents findings and strong recommendation; manager makes the final call.Makes recommendations to leadership; can make tactical 'pivot' decisions within their owned workstream.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Experiment Cycle Time
The average time it takes from defining a hypothesis to getting validated learning (a clear 'pivot' or 'persevere' decision).
Target · Under 2 weeks per experiment, most of the time.

You take a hypothesis on Monday, build a landing page by Wednesday, run ads for a week, and present findings by the following Monday. That's a 7-day cycle.

Customer Interaction Volume
The number of unique customers or users you've spoken to, observed, or run tests with each month.
Target · At least 15 unique interactions per month.

You conduct 10 user interviews, run 3 usability tests with 5 people each, and get feedback from 20 survey respondents. That's 35 interactions.

Prototype Delivery Rate
The percentage of planned prototypes (wireframes, mock-ups, MVPs) that are built and ready for testing on schedule.
Target · 95% on-time delivery.

If you committed to 4 prototypes this month, and 3 were ready when needed, that's 75%. We want you hitting your deadlines.

Learning Velocity
How quickly we move from raw data to a clear 'learn' outcome – either validating or invalidating a core assumption.
Target · 80% of experiments result in a clear 'pivot' or 'persevere' decision.

You run a test, and the results clearly show customers aren't interested in feature X, leading to a quick pivot. That's a strong learning outcome.

Insight Clarity & Actionability
How well you translate messy experiment results into clear, concise, and actionable insights that the team can use to make decisions.
  • Your experiment summaries are easy to read and understand. Colleagues consistently refer to your findings when discussing next steps. You're able to clearly articulate 'what we learned' and 'what we do next' without ambiguity.
Experiment Design Quality
The thoughtfulness and robustness of your experiment designs, ensuring they actually test the riskiest assumptions efficiently.
  • Your hypotheses are clear and falsifiable. You choose the right testing method for the question. You're not over-engineering tests, but you're not cutting corners on validity either. Your manager rarely needs to tweak your experiment plans significantly.
Collaboration & Communication
How effectively you work with other teams (like Product or Marketing) to get what you need for experiments, and how well you share your findings.
  • Other teams are happy to work with you. You proactively share updates and findings. You're good at getting people on the same page, even when there are conflicting views. You don't just dump data
  • you tell a story with it.
Problem Framing & Solution Ideation
Your ability to take a vague problem and help define it clearly, then generate a range of creative, testable solutions.
  • You can reframe a 'we need an app' request into 'how might we help users do X more easily?' You contribute genuinely novel ideas in brainstorming sessions. Your solutions are often simple, elegant, and testable.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Solving Real Problems

You get a buzz from taking a tangled problem and breaking it down, then seeing if your proposed solution actually helps someone. It's about making a tangible difference, even if it's small at first.

You spend a week observing customers struggle with a specific task, design a simple workaround, test it, and see their relief. That's your fuel.

Learning & Discovery

You love the process of figuring things out, whether it's a new technology, a market trend, or a customer behaviour. The 'aha!' moment when an experiment reveals something unexpected is what drives you.

An experiment you ran completely disproved your initial hypothesis, but in doing so, uncovered a much bigger, more interesting opportunity you hadn't considered.

Building New Things

You enjoy the hands-on act of creating, whether it's a quick prototype, a user journey map, or a pitch deck for a new concept. You like seeing ideas take shape.

You spend a day in Figma, turning abstract ideas into a clickable prototype that feels real enough for users to interact with.

What frustrates people
  • The 'Pet Project' Problem: Being asked to test an idea that's clearly flawed but championed by someone senior, knowing it's a waste of time.
  • Fighting the Core Business Immune System: Constantly having to explain why we're doing things differently, or why 'failure' is actually a good thing sometimes.
  • Pilot Purgatory: Successfully running a pilot only for it to get stuck in limbo, never scaled, never fully integrated, just slowly dying.
  • Messy Data: You'll spend a surprising amount of time cleaning up data before you can even start analysing it. It's not glamorous, but it's essential.
What this role does not give you
  • A clear, linear path to a finished product in every project you touch.
  • Guaranteed success or immediate, large-scale impact for every idea.
  • A quiet, predictable environment where you can stick to a rigid plan.
  • The ability to avoid internal politics or pushback from established teams.

6Who you work with

Your work directly influences which new ideas get more investment and which ones get binned early. You're basically the gatekeeper for our innovation pipeline, making sure we only pursue things that show real promise. Getting it right means we build better products and services; getting it wrong means wasted effort and missed opportunities.

Inside the business
  • Product Development teams (for feasibility checks)
  • Marketing (for customer insights and testing channels)
  • Business Unit Leads (for understanding problems and potential adoption)
  • Legal & Compliance (for early-stage regulatory checks)
Outside the business
  • Potential Customers / Users (for interviews and testing)
  • External Vendors (for specific prototyping tools or services)

7What you need before you start

Not a wish list. The things you would be expected to already have.

  • At least 2 years of hands-on experience in a role involving user research, product development, or innovation, where you were actively involved in testing ideas.
  • A solid understanding of Design Thinking and Lean Startup principles – you should be able to explain the Build-Measure-Learn loop and why it matters.
  • Experience building low-fidelity prototypes using tools like Figma, Balsamiq, or even just paper and pen.
  • Proven ability to conduct customer interviews and synthesise qualitative data into clear insights.
  • Comfort working in an environment where things change quickly and not every idea will succeed.

8What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Prototyping & Interaction Design

As ideas get more complex and user expectations rise, simply sketching wireframes won't always cut it. Being able to build more realistic, interactive prototypes faster will significantly improve the quality of user feedback.

Micro-interactions & Animations · Design Systems Thinking · User Flow Optimisation

  • This quarter: Take an online course on advanced Figma features, focusing on interactive components and smart animate.
  • Next quarter: Actively seek feedback from our in-house UI/UX designers on your prototypes. Ask them for specific tips.
  • Month 6: Try to build one prototype that includes subtle animations or complex conditional flows.
  • Ongoing: Follow leading design blogs and communities to see what new prototyping techniques are emerging.

Quick win: Spend an hour each week just playing around with Figma's advanced features. You'll be surprised what you pick up.

Basic Data Visualisation & Dashboarding

You'll be generating more and more data from your experiments. The ability to quickly turn that raw data into clear, compelling visualisations and simple dashboards will make your insights much easier for others to understand and act upon.

Choosing the Right Chart Type · Dashboard Design Principles · Interactivity Basics

  • This quarter: Take an introductory course on Tableau Public or Power BI (there are plenty of free ones online).
  • Next quarter: Build a simple dashboard in Excel or Google Sheets that tracks the key metrics for one of your ongoing experiments.
  • Month 6: Try to connect a basic data source (like your Airtable experiment log) to Tableau or Power BI and build a simple report.
  • Ongoing: Pay attention to good and bad data visualisations you see in the news or other reports; critically analyse what works and what doesn't.

Quick win: Next time you're presenting experiment results, try to replace a text heavy slide with a single, well-designed chart. See the difference it makes.

9Staying current once you are in

What people here do to keep up
  • Attend industry conferences or meetups focused on innovation, product management, or user experience.
  • Read books and articles on emerging innovation methodologies, behavioural economics, and future trends.
  • Take online courses to deepen your skills in prototyping tools, data visualisation, or AI prompt engineering.
  • Participate in internal 'Lunch & Learn' sessions or workshops to share your knowledge and learn from others.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering for Generative AI

Generative AI is already transforming how we do research, ideation, and even content creation for prototypes. Analysts who can effectively 'talk' to these models will be significantly more productive and insightful, speeding up experiment cycles dramatically.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

Your PlanIllustration

Built for Innovation Lab Specialist

3 units that map to this job, from the qualifications that cover it.

  1. Encourage innovation in your teamCambridge OCR · covers 6 of 14 standardsLevel 3
  2. Encourage innovationNCFE · covers 2 of 14 standardsLevel 4
  3. Encourage innovation in own area of responsibility1st4sport · covers 2 of 14 standardsLevel 4
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering for Generative AI

Generative AI is already transforming how we do research, ideation, and even content creation for prototypes. Analysts who can effectively 'talk' to these models will be significantly more productive and insightful, speeding up experiment cycles dramatically.

  • Context Windows & Token Limits
  • Temperature Settings
  • RAG (Retrieval Augmented Generation)
  • Output Validation

What you’ll use

Skills this role draws on

Technical

  • Design Thinking
  • Lean Startup Methodology
  • Business Model Innovation
  • Agile Experimentation
  • Venture Storytelling
  • Qualitative Data Synthesis

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Junior Product Manager / Product Owner

    2-3 years

    Skills to master

    • Understanding user needs, writing user stories, managing a backlog, working with development teams, basic A/B testing.

    You're ready to move on when

    • You've successfully launched small features and gathered user feedback.
    • You're comfortable translating user problems into technical requirements.
    • You've worked closely with engineers and designers.
  2. 2

    UX Researcher / Junior UX Designer

    2-4 years

    Skills to master

    • Conducting user interviews, usability testing, creating wireframes and user flows, synthesising research findings.

    You're ready to move on when

    • You've led multiple user research projects from start to finish.
    • You can articulate user pain points clearly and propose design solutions.
    • You're proficient in at least one prototyping tool.
  3. 3

    Startup Founder / Early Employee (failed or successful)

    1-3 years

    Skills to master

    • Rapid experimentation, customer validation, bootstrapping, wearing many hats, resilience, pitching ideas.

    You're ready to move on when

    • You've personally tried to build and launch something new, even if it didn't work out.
    • You're used to working with limited resources and tight deadlines.
    • You've had direct customer interaction and validated (or invalidated) ideas.

11Where this role leads

The long view:Your journey in the innovation lab is really about becoming a master problem-solver and builder of new things. Where you take those skills next is up to you, but the foundations you'll build here will open up a huge range of exciting opportunities.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Innovation Lab Specialist is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Encourage innovation in your teamLevel 3

Applied to your work in Innovation Lab Specialist

By completing this unit, learners will develop the skills to encourage innovation within their team, demonstrating appropriate behaviours and applying relevant general, industry, and context-specific knowledge.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Innovation Lab Specialist

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Experiment Cycle TimeThe average time it takes from defining a hypothesis to getting validated learning (a clear 'pivot' or 'persevere' decision).You take a hypothesis on Monday, build a landing page by Wednesday, run ads for a week, and present findings by the following Monday. That's a 7-day cycle.Under 2 weeks per experiment, most of the time.
  • Customer Interaction VolumeThe number of unique customers or users you've spoken to, observed, or run tests with each month.You conduct 10 user interviews, run 3 usability tests with 5 people each, and get feedback from 20 survey respondents. That's 35 interactions.At least 15 unique interactions per month.
  • Prototype Delivery RateThe percentage of planned prototypes (wireframes, mock-ups, MVPs) that are built and ready for testing on schedule.If you committed to 4 prototypes this month, and 3 were ready when needed, that's 75%. We want you hitting your deadlines.95% on-time delivery.
  • Learning VelocityHow quickly we move from raw data to a clear 'learn' outcome – either validating or invalidating a core assumption.You run a test, and the results clearly show customers aren't interested in feature X, leading to a quick pivot. That's a strong learning outcome.80% of experiments result in a clear 'pivot' or 'persevere' decision.
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Innovation Lab Specialist to Senior Innovation Lab Specialist (L3), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Innovation Lab Specialist (L3)→ your design
Where this takes you

Your journey in the innovation lab is really about becoming a master problem-solver and builder of new things. Where you take those skills next is up to you, but the foundations you'll build here will open up a huge range of exciting opportunities.

See Your Progress GrowIllustration
Innovation Lab Specialist
  • Design Thinking
  • Lean Startup Methodology
  • Business Model Innovation
  • Agile Experimentation
  • Venture Storytelling
  • Qualitative Data Synthesis
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Innovation Lab Specialist is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Innovation Lab Specialist (L3)

    2-3 years (from L2)

    You'll move from owning individual experiments to leading entire workstreams or small ventures, mentoring junior colleagues, and taking on more complex, ambiguous problems.

    • Venture Leadership: Leading a small, cross-functional team through the entire innovation cycle (concept to pilot).
    • Advanced Experiment Design: Designing more sophisticated experiments to test multiple assumptions or market segments.
    • Strategic Storytelling: Crafting compelling narratives for leadership, defending recommendations with robust data and insights.
Working with AI on the job

Working with AI

Where AI is starting to help

Imagine spending less time on the tedious bits of innovation and more time on the truly creative, impactful work. That's exactly what AI can do for you in this role.

We're not just talking about buzzwords; we're talking about practical, everyday AI tools that can seriously speed up your research, analysis, and communication. Think of AI as your super-efficient assistant, helping you get to insights faster and build prototypes quicker. Here's how it'll actually help you day-to-day:

User Interview Synthesis Automation

Use AI tools like Dovetail or Reduct to automatically transcribe hours of user interviews. The AI can then spot key themes, pull out impactful quotes, and cluster initial insights, turning raw data into a digestible summary in minutes, not days. You'll spend your time interpreting, not transcribing.

Market Trend & Competitor Analysis Acceleration

Feed market research reports, competitor announcements, and industry news into a large language model (LLM). Ask it to summarise the top 5 emerging trends, identify white space opportunities, or even draft a quick SWOT analysis of a new market entrant. It's like having a research assistant who's read everything.

Brainstorm & Persona Generation Catalyst

Staring at a blank page during ideation? Use generative AI to kickstart your thinking. Prompt it to create 10 initial 'How Might We' statements based on a problem, or generate three distinct user personas (e.g., 'the skeptic,' 'the power user') to get your empathy mapping going. It's great for breaking through creative blocks.

Pitch Deck & Report First Draft Creation

Got a bunch of experiment insights and need to tell a compelling story? Give an AI assistant your core findings and target audience (e.g., 'a skeptical CFO'). Ask it to generate a first draft of a 5-slide pitch deck or a one-page summary report, structuring the narrative and key data points. You'll then refine it, saving you hours of staring at a blank slide.

Common questions

Common questions

How do you become an Innovation Lab Specialist?

Common routes in include Junior Product Manager / Product Owner (2-3 years), UX Researcher / Junior UX Designer (2-4 years) and Startup Founder / Early Employee (failed or successful) (1-3 years). Times vary with prior experience.

Where can an Innovation Lab Specialist progress to?

This role can lead on to Senior Innovation Lab Specialist (L3) (2-3 years (from L2)), depending on the skills you build.

What level is an Innovation Lab Specialist in the UK?

This role aligns to RQF Level 3 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for an Innovation Lab Specialist?

Increasingly, Prompt Engineering for Generative AI. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows an Innovation Lab Specialist, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 14 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming an Innovation Lab Specialist: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Innovation Intrapreneurship

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll gain here—rapid experimentation, customer validation, business model design—are highly transferable across almost any industry. Whether it's FinTech, healthcare, retail, or even government, the ability to find and build new value is always in demand.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.