Scaling withdrawals: how Design thinking sparked 50% QoQ volume growth

Led end-to-end user research, stakeholder design thinking workshops, and the final product redesign for a high-growth money-out journey.

Product strategy | UX research | Workshop facilitation | Product redesign | Digital wallets (Paysafe) | 2024

Summary

The Context

Withdrawing fiat from a Skrill wallet straight into a crypto wallet was one of Digital wallets' fastest-growing money-out features – volumes had grown steadily, and a large share of that growth was coming from expanding to new countries. It had also never had a designer properly on it: the journey had shipped, expanded market by market, and accumulated friction. What product saw from a bird's-eye view was a funnel drop-off of more than 50% on a single step, and a persistent stream of customer-support contacts.

My role

I designed and ran the discovery, definition, ideation and delivery for its redesign as a full design-thinking cycle, and I deliberately did not run it alone. Product, stakeholders and engineering went through every step with me, in a series of workshops: agreeing a 12-month goal and the success metrics behind it, gathering the evidence, building a proto persona and mapping the journey, then prioritising the opportunities that best address our long-term goal. From there we ideated against the winners, put the proposals through design reviews and usability testing, and shaped the scope for development.

Key points

  • A full design-thinking cycle – empathise, define, ideate, prototype, test – run as a sequence of timeboxed workshops with stakeholders, not as a designer working in isolation
  • Evidence from five directions: BI reports, funnel analytics, customer-support contact analysis, usability testing of the live journey, and competitor research
  • A shared 12-month goal and success-metric candidates, dot-voted by the room on day one
  • 16 user problems named along the journey, prioritised twice – impact on business vs. impact on users, then impact on business vs. development effort
  • Six top-voted problems reframed as How Might We questions and taken through structured ideation and lightning demos
  • Proposals validated through design reviews, stakeholder voting and usability testing – then sequenced for development in three stages
  • A hands-on, collaborative approach during and after development, keeping a constant feedback loop so decisions could be made at macro and micro level – quality delivery with enough flexibility for the dev team to move quickly
+50%
monthly withdrawal volume in a quarter – 10K to 15K transactions
+25%
first-page landings on the "enter amount" step over the same quarter
4.7 / 5
ease of finding the new crypto dashboard card – the highest-scoring entry point in testing

Why adopt a single, universally visible framework?

In an initiative aimed at scaling up an already well-performing money-out journey, transparency is everything. Opening up the process to all stakeholders ensures absolute alignment from day one. This builds trust, accelerates decision-making and breaks down communication silos by introducing a single, unified framework where every step of the process is fully visible to everyone.

The spine of the initiative was the double diamond: diverge and converge on the problem, then diverge and converge on the solution. I opened the very first workshop by walking the room through it – five minutes on empathise, define, ideate, prototype, test – so that everyone knew at every later session which part of the process we were in, and why we're going through it.

That set an expectation early: we would spend real time in the problem space before talking about solutions.

How I ran the workshops

The initiative ran as a series of working sessions, each with a written agenda and a timebox on every exercise. Two things were deliberate: silent individual writing before any group discussion, so the loudest voice in the room didn't set the frame; and dot-voting to converge, so decisions came from the group.

The double diamond: discover and define decide what to fix; develop and deliver decide how to fix it

The Challenge

The Reality

Growth for the "Withdraw to Crypto" feature was happening despite the user journey, not because of it.

The Risk
  • Product were ready to rush into solutions based only on surface-level data from a single source (Amplitude drop-offs) without going deeper to uncover user needs and pain points along the whole journey – and most importantly, understanding the "Why" behind the "What".
  • Quantitative data showed that the feature was serving a specific niche of users with a very specific job, but did nothing more than that, leaving us in the dark as to how we could better serve them.
  • Would serving that specific niche of users lead us to the desired product outcomes, or were we actually missing out on an opportunity to expand to other crypto-native wallet personas as well? This was a risk I brought to the table.
The Pivot
  • Implementing a structured design-thinking process halted premature solutioning, allowing us to safely de-risk the feature and explore the problem space.
  • Conducting user and stakeholder interviews, as well as creating a proto persona, brought us closer to understanding the current users so we could better serve them.
  • My hypothesis was that the current positioning of the feature as one of many "withdrawal / transfer" options was practically hiding it from other potential users who are crypto-native – our existing crypto trading personas. In order to validate that, I needed to conduct further user research and usability testing.
The hypothesis board: the feature's current positioning among withdrawal and transfer options, and the crypto-native personas it may be hidden from
The hypothesis I brought to the table – that the feature's placement among generic withdrawal options was hiding it from the crypto-native users we wanted to acquire.
DISCOVER problem space · divergent – gather everything before judging anything
Exercises
BI report analysis · funnel analysis · customer-support contact review · competitor research · hypothesis mapping · usability testing of the live journey · in-depth user interviews
Artefacts
One research board holding every evidence stream · a hypothesis list with a stated method for checking each one · an interview guide · a usability testing report
What we found out
Where the funnel loses people, what users contact support about, mental models in relation to similar features on competitor products – and that half of the tested users could not find the feature at all
How it informed the next step
The evidence pointed at discoverability and comprehension rather than at flow mechanics – which is what the Define stage then had to prioritise against

Discover – gathering the evidence

With the help of product, analytics and customer support, I gathered all the data we had onto one board, where every later exercise could see it. Five sources, each answering a different kind of question:

  • BI reports – who uses the feature, from where, on which platforms and at what volumes; withdrawal versus trading behaviour over time.
  • Funnel analytics – where the journey loses people: the sharp drop-off between the first and second step, and the differences between app and web.
  • Customer-support contacts – what users raise in their own words: limits, minimums, missing network information, no arrival-time expectation.
  • Usability testing of the current state – the analytics only showed what was happening, not why, so I ran moderated testing to watch users attempt the live journey and see the friction the numbers imply.
  • Competitors – looking at traditional crypto exchanges, digital wallets and purely on-ramp solutions gave us the most common patterns in terms of user journey steps, entry points and naming of similar features.
The research board, zoomed out: withdrawal versus trading behaviour, volume growth, support contact themes, funnel charts, heatmaps and competitor flows gathered in one place

Turning the drop-off into testable hypotheses

The Amplitude data could say where people left, but could not say why. So I gathered the product team with the suggestion to write down every hypothesis we had for that drop-off. Some of the suggestions included mismatch of user expectations, no available balance, difficulty entering an address, and balance-switching limitations on app. Against each one we marked what kind of experiment or research would confirm or discard it: some against BI data, some in the interviews, some in usability testing.

That list is what stopped the quantitative data from being a set of charts everyone nodded at, and turned it into a research agenda with owners.

The funnel analysis: conversion through the withdraw-to-crypto flow compared across Android, iOS and web, with the drop-off step marked against the screens it corresponds to
Hypotheses for research purposes
Traders expect to withdraw their crypto directly, which the feature does not offer – so they drop when they see it is not what they imagined.
How we would test it
BI data on the share of withdrawal users who are crypto traders; user testing
Users have no fiat balance available, and that is why they drop.
How we would test it
Changes in tracking are needed before this can be answered
Users might just be exploring the feature, and that is why they drop.
How we would test it
Behavioural analysis in BI
On app, users cannot switch to their secondary balance, and that is why they drop.
How we would test it
Ask in the interviews, plus BI: compare secondary-balance usage on app versus web – a higher share on web would show the app is harder
It is difficult for users to enter their crypto address.
How we would test it
Ask in the interviews; run it on a test account and have participants show us

The interview guide

I conducted stakeholder interviews upfront to gather the research questions and topics, which would then shape the interview guide and script – covering current user behaviour, withdrawal habits, pain points and unmet needs. The interview also included a hands-on test with dummy account data. The results from this research would feed persona creation, journey mapping of pain points, and enrich the picture on the Amplitude drop-off.

Discovery interview guide, page one: goals of the research and the research topics Discovery interview guide, page two: what we wanted to find out under each topic Discovery interview guide, page three: the interview script

Usability testing the current state – the finding that changed the brief

Ten moderated sessions on web and ten on mobile. The ones on mobile – five Skrill users and five non-users, across the UK, Brazil, Italy, Portugal and Argentina, spread between users who trade with crypto, users who only store value via crypto, and users who perform withdrawals of funds to crypto wallets. Two findings on mobile did most of the damage.

Discoverability. Only 5 of 10 users managed to complete a withdrawal to a crypto wallet at all, because they couldn't find the feature. Seven of ten began their search in the crypto tab, starting from "buy crypto" and then hunting under "more"; three started from the exchange; transfer, where the feature lives, was the last resort. Asked how easy it was to find the option, users scored it 3.2 out of 5 – and the score flatters the experience, because half of them never found it. This confirmed my hypothesis: if we were to target those users, we'd need an entry point aligned with their expectations.

Clarity. The withdraw-to-crypto-wallet concept is not what crypto users are used to from exchanges. They expect to buy crypto and then send it to an external wallet, or to send from an existing crypto balance. Here the feature buys crypto with fiat and sends it to the wallet in a single step, acting as an on-ramp. Genuinely more convenient, and genuinely confusing: users couldn't tell what the feature was or how it worked.

The research card and scenario board for the current-state usability test: hypotheses, tasks and the scenario each participant was given
Usability testing findings: user quotes about the withdraw-to-crypto option being unclear, placed around the screens they refer to
Further usability testing findings placed against the screens of the live withdrawal journey
DEFINE problem space · convergent – from everything we know to the problems worth solving
Exercises
Long-term goal · success metrics · scope & constraints · pre-mortem · proto persona · journey mapping · problems & friction points along the journey · double prioritisation
Artefacts
An agreed 12-month goal · business and user success metrics · a written scope and constraint list · a pre-mortem risk board · a proto persona · a journey map with pain points on it · 16 named problems · a prioritisation matrix
What we found out
Which problems actually move the metrics we had agreed – and that the biggest ones sit before the funnel even starts: getting informed that such a feature exists, and then discovering it in the interface
How it informed the next step
Six problems earned ideation, and the ideation had to target entry points, education and communication as much as screens

Define – aligning on the problem worth solving

The first workshop was pure alignment, run in tight timeboxes: five minutes on the process itself, ten on the goal, ten on metrics, five on scope and constraints. Everyone wrote silently first, then we discussed and dot-voted.

Long-term goal

"What would Withdrawals to crypto wallet look like in 12 months for our users, and how would it impact the business?" One sentence each – bold and idealistic, no metrics, no solutions. Everyone wrote in silence, then we read them out and dot-voted to land on a single statement the whole room had chosen rather than been given.

The long-term goal exercise: the prompt, the instructions and the voted answers
Success metrics

"How will we know we've reached our goal?" – split into business outcomes and user outcomes, with the instruction to imagine everything goes perfectly and to include a number where possible. The room produced candidates on both sides – conversion through the withdrawal flow, volume growth, fewer support contacts – and voted on the ones it believed in.

The success metrics exercise: business outcomes on the left, user outcomes on the right, with dot votes

What got left out due to time constraints

Pre-mortem

"Imagine the project has failed miserably. Write every reason you can think of for the failure." Although the group did not manage to go through this step, I had marked two "reasons for failure" on my side: that we did not get to the core of the users' problems and needs, so we did not provide enough additional value; and that we had a hypothesis whose effectiveness we did not test or measure, so we built a feature that did not actually improve the user experience or the metrics significantly.

Scope & constraints

Boundaries before ideas: what the initiative covers on app and web, with regulatory, technical and product constraints named explicitly – so that nobody fell in love with something that couldn't ship.

Who we are designing for

With the destination set, the next workshop turned to whom we were designing for. Unfortunately the interviews initiative did not bring any participants due to the specifics of the target group, so we used desk research, the BI segments and the team's accumulated knowledge to draft a proto persona together – whom are we serving, what are their pain points and needs, what would we help them achieve – deliberately labelled "proto": a hypothesis to be sharpened by further research. Alongside the proto persona we also placed our already existing trader personas as secondary target groups.

Persona: the hodler – goals, behaviours, pain points and unmet needs
Persona: the swing trader – goals, behaviours, pain points and unmet needs
The existing trader personas placed as secondary target groups. (Please note that the proto-persona board for the primary target group cannot be disclosed at this time.)

Where it hurts – journey map and problems

Journey mapping. We mapped the current journey end to end and placed the user pain points along it – from discovering the feature exists, locating it in the interface, through entering an amount, address and choosing a network, to waiting for funds to arrive. The map made visible what the funnel chart structurally couldn't: the pain starts before the first funnel step, because a feature people don't know about and can't find has a problem no flow redesign will fix.

The journey map: the current withdrawal flow stage by stage, with user pain points and friction placed along it
The journey map – the current flow stage by stage, with pain points and friction placed where they happen.

The pain points and unmet needs

Grouping together similar user problems from the journey map and then naming them produced 16 distinct items – from "users don't know about the feature" through "unclear what limit is hit" and "clarity on insufficient funds to cover amount + fees", to "get help and support along the flow" and "get rewarded when using the withdrawals".

The 16 user problems named along the journey, arranged as a block of sticky notes

Prioritising twice

Prioritisation against value

Every problem plotted on impact on the business metric against impact on the user outcome, with the goal and metrics from workshop one pinned physically at the top of the frame as the yardstick. Nobody had to argue from taste.

Prioritisation against feasibility

Then a second pass: how easy is it to build, splitting the high-impact items into quick wins and big bets. The effort axis is what turns a wish-list into a plan.

The prioritisation matrix: impact on the business metric against impact on the user outcome, with the problems plotted across four quadrants
DEVELOP solution space · divergent – many answers before the right answer
Exercises
How Might We reframing · six timeboxed ideation rounds · dot voting · lightning demos of competitor solutions · hypothesis statements · assumption collecting
Artefacts
Six How Might We questions with an idea set each · a competitor reference set · written hypothesis statements with their assumptions listed for testing
What we found out
The strongest ideas were about getting users to the feature, providing guidance and support along the way
How it informed the next step
The surviving directions became concrete flow proposals to take into design review and testing

Develop – ideating against the top problems

The ideation workshop ran on a tight agenda: five minutes of intro, then six How Might We rounds of five minutes each, a vote, a rest – then fifteen minutes of lightning demos of competitor solutions to the top-voted problems.

How Might We

Each top-voted problem was reframed as a question – rephrasing a problem as a question is what switches a room from panic into solution mode. The four that carried the session:

  • How might we improve the discoverability of the withdraw-to-crypto-wallet option in account?
  • How might we help users know about the feature in the product?
  • How might we educate users on what the withdraw-to-crypto-wallet option is and how to use it?
  • How might we help users get help and support along the flow?
Structured ideation

Silent, timeboxed idea generation against each question. Quantity first; judgement later, by vote. Against discoverability in account: a new entry point on the crypto dashboard, redirecting from crypto buy, and iconography that reads dollar-sign to crypto to wallet. Against knowing the feature exists: a notification centre and push notifications linked to it, and reaching users where they already are. Against comprehension: a descriptive card on the crypto dashboard, the same on the home screen, and educational screens. Against support: an entry to FAQ, help and support along the flow behind an information icon, improved FAQ articles, and checking the current journey on the virtual assistant.

A How Might We round: the reframing template and the first ideas generated against the question
Lightning demos

Competitor walk-throughs against the top-voted problems – how exchanges and onramps handle withdrawal flows, naming, limits and network choices. Participants brought their own findings; the demos grounded the ideas in what the market already teaches users to expect.

Hypotheses & assumption collecting

A very useful exercise that unfortunately didn't make the cut due to time constraints. Surviving ideas need to be written up as hypothesis statements – we believe that doing this, for this user, will achieve this outcome, and we will know it is true when we see this metric change.

DELIVER solution space · convergent – from candidates to a scoped release
Exercises
Flow proposals for app and web · design reviews with design, product and engineering · stakeholder input and voting on variants · usability testing on the proposed flows and entry points · impact-versus-effort prioritisation for development
Artefacts
Reworked flows and new entry points · a tested set of proposals · a development scope split into three stages
What we found out
Which proposals users could actually navigate, which the team could realistically build in this cycle, and which proposals are unacceptable due to legal constraints
How it informed the next step
A prioritised release: what ships first, decided by user and business impact against development effort

Deliver – testing, deciding, shipping

Flow proposals & design reviews

I laid down in Figma the results from the ideation with the How Might We questions and the unmet needs and jobs, along with the existing flow and the new flows I was building – so that I always kept them front and centre, and so that I could easily defend my design decisions by pointing at ideas and problems the committee had already approved.

For the first iteration I came up with four variants of the journey for app and web – four different proposals for new entry points and reworked steps. Then I took them through design reviews with design, product, engineering, legal and partner networks, each carrying its own approval status.

This is where the hardest constraint showed itself. Two of the four variants leaned on renaming the feature or introducing clearer wording, and both were disapproved by partner networks and legal: no "Buy" or "Send" in the naming. As you may recall earlier in the case study, we saw from the usability testing of the current state that the majority of users searched for the feature under "Buy" on the crypto dashboard. As for "Send" – the competitor analysis done earlier showed that "Send" and "Withdraw" were equally used across crypto exchanges, digital wallets and onramps. This left me with the only direction of keeping the naming as "Withdraw to crypto wallet".

The variant that survived kept the current naming and the entry point at "Transfer" for existing users, and supported discoverability for the trading personas we'd like to acquire via an entry point on the crypto dashboard – under "More" – plus much stronger communication and education around the feature.

Working inside a constraint you cannot argue with is a large part of what this project actually was.

The design review board: the current flow, the priority issues, and four proposed variants each with its approval status from partner networks and legal
Design review, volume one – current flow and priority issues at the top, then V1 to V4 with the approval status each variant carried out of the review.

The four entry-point variants

Each variant carries its own concept, rationale, the votes it drew from product and design, the constraints it hit, and – where testing ran – what came back. Step through them with the arrows.

Constraints don't define a designer

Due to the constraints and what I was left with, I got the unpleasant feeling of not delivering the best result for our users – the entry point was rather hidden, and we were about to miss our goal of increasing acquisition of trading users. So I sat down and iterated further, coming out with a new proposal for the entry point: a descriptive card, front and centre at the top of the crypto dashboard. This solution bothered me at first, as it may be perceived as a widget or an ad – something with temporary status. Still, it kept a consistent appearance according to our design system with the already existing entry point, and it covered much better the users' need for an explanation of what the feature offers them, compared with a standalone "Withdrawal" button that usability testing had proved confusing.

The further iteration: a descriptive card at the top of the crypto dashboard as the new entry point, shown across app and web
The further iteration – a descriptive card at the top of the crypto dashboard, explaining the feature where the trading personas already are.
Usability testing on the proposals

The proposed entry points and user flows from the first two iterations underwent usability testing across both app and web platforms. Each design was evaluated by 10 participants from the EEA, UK and LATAM regions. We assessed these journeys against three criteria: entry-point discoverability, overall ease of use, and end-to-end clarity of the withdrawal process. Every task was mapped to a specific metric and success criteria, then scored individually. This data was compiled into a response matrix, from which the final conclusions were drawn.

To support all user groups, it is essential to keep both entry points. Although we introduced a new path through the "Crypto" tab, usability testing showed that many participants still headed straight to "Transfer" to find the feature.

That closes the loop the pre-mortem would have demanded: no untested hypothesis ships.

Users found the "Withdraw to crypto wallet" card on the crypto dashboard to be the easiest entry point to locate. Entry-point ratings, among users who used that specific entry:

Crypto dashboard card – highest ease of finding
4.7 / 5
Withdraw button on dashboard
4.0 / 5
"More" menu card on dashboard – lowest ease of finding
3.5 / 5
The usability testing matrix for the proposed solutions: tasks and questions, the metric for each, how it was measured, and the responses per participant
The testing matrix for the proposals – task by task, the metric it moves, how it was measured, and the result per participant.

From problems to the shipped design

Each of the problems the research had named was worked through to a concrete screen. What follows pairs the user problem with what we built against it.

The winning solution: a descriptive Withdraw to crypto wallet card at the top of the crypto dashboard, with the existing Transfer entry point kept alongside it
The winning solution – a descriptive card on the crypto dashboard, with the existing entry point under Transfer kept in place because it still carried real traffic.
The same entry point on web: the Withdraw to crypto wallet card on the crypto dashboard, shown in its first-time-user state and its returning-user state
The same entry point on web, and the two states the card carries – an explanatory version for a first-time user, and a returning-user version reporting progress towards VIP level.

The step that was losing people – before and after

This is the screen the whole initiative started from – the details step carrying the drop-off. The old version asked for everything at once: cryptocurrency, network, wallet address and amount, with the limits reported only after the fact and, in this state, contradicting themselves – "Min: 21.00 | Max: 19.40" against a dead Continue button.

The redesign splits the screen into Spend and Receive, puts the balance, the minimum, the live exchange rate and the total fees on screen before you commit, and moves the crypto address to a step of its own.

After the redesign: the withdraw step split into Spend and Receive, showing balance, minimum, live exchange rate and total fees, with the crypto address moved to the next screen
Before the redesign: a single Choose amount screen holding cryptocurrency, network, crypto address and amount together, with the amount shown out of range
BeforeThe live journey
AfterThe redesign
Drag the handle – or focus it and use the arrow keys – to compare
User problems and redesign: seeing the available fiat balance, switching between fiat balances, and editing the amount in both crypto and fiat
Fees, before you commit

In the old model fees sat on top of the spend amount and the displayed limits did not account for them, so users could not tell whether they had enough to cover the amount plus the fee. The receive amount is now spend minus all fees, with the total fee stated on screen.

One limit at a time

Avoid the case with "Max" being smaller than "Min" by only showing one limit at a time – either the min or the max, depending on the case.

Proposed logic – which limit do we show?
Initially landing on the screen
What shows
The min hint text only, similar to deposit
The min is hit
What shows
Only the min hint text, in red
The max is hit
What shows
Only the max hint text, in red
The entered amount sits between the min and the max – which also covers the case where min is greater than max
What shows
Only the min limit, in red, as the error
min 40 · max 20 · amount entered 30
What shows
Min 40, in red
min 40 · max 20 · amount entered 50
What shows
Max 20, in red
User problems and redesign: the min limit shown larger than the max limit, and the redesigned screen showing a single limit at a time
Balance segregation

Part of a user's balance can be restricted for withdrawal to a crypto wallet, depending on how the money was deposited. Android and iOS disagreed on whether to show it, and nothing on the screen explained the difference.

The old state of the screen
User pains around restricted funds: Android shows the remaining funds after excluding the restricted amount, iOS shows all funds including restricted, and the explanation hides behind a question-mark icon
The redesign
The solution: a balance details screen breaking down total balance, excluded funds and the amount actually available for withdrawal to a crypto wallet
Getting users to the feature, and through it

The three How Might We questions that carried the ideation – knowing the feature exists, understanding what it does, and getting help along the way – each became a concrete piece of the release.

Selecting currency and network: search by ticker, coin or network name, coins ordered by volume, and the network signified visually on each row
A new design-system component

The existing design-system components did not support what the optimal solution needed, so a new list item was specified and taken into the library as coin_network_list_item – anatomy, brand, states, layout and behaviour.

Working through the details

Behind the entry points sat the smaller decisions that decide whether a flow actually works, for example: how the address field and its confirmation checkbox behave together, how verification status is communicated, and what the journey does when a market or a service is unavailable.

Address field & confirmation checkbox – three behaviours explored
Address and checkbox behaviour, option 1
Option 1 – scroll sideways to follow the whole flow
Address and checkbox behaviour, option 2
Option 2 – scroll sideways to follow the whole flow
Address and checkbox behaviour, option 3
Option 3 (the option that best matches user needs and feasibility) – scroll sideways to follow the whole flow
Verification – statuses
Verification statuses across the withdrawal journey
Edge cases – Service down, Fin Prom, Italy - Tax ID
FCA and Italy VASP: what the journey shows when the service is down in a market
Scoping for development

I worked with product and engineering on prioritising which features and flow improvements entered development first, weighing the impact on users and the business against the development effort each required. As a result the work was divided into three stages of development, each a complete, shippable slice for both app and web rather than a partial release.

The development plan: app and web flows for phase one, two and three, each phase listing the specific changes it contains
A close-up of the final flows: the journey broken into discovery, entry point, entering details, summary and transaction status, with the screens and states for each

Outcomes

The redesign increased first-page landings on the "enter amount" step by 25% in a quarter, and monthly withdrawal volume grew from 10K to 15K transactions per month.

Beyond the numbers, the initiative changed how the problem was understood. It began as "fix the drop-off in the flow" and ended with much greater understanding of the "why" behind the number, plus clear evidence that discoverability and clarity along the journey are equally harmful for business metrics.

What the process produced

  • A goal and success metrics the room wrote and voted on, with constraints named on day one
  • A pre-mortem whose two failure modes shaped how the rest of the process ran
  • 16 problems, prioritised against the agreed metrics and against development effort
  • Six How Might We questions ideated with stakeholders, grounded in competitor demos
  • Proposals tested with users before build, and a development scope split into three stages

Lessons learned

Stakeholders and engineering managers highly appreciated the collaborative approach, which often eased their decision-making and saved time.

It was a lot to run in the time available, and next time I would look at cutting down some of the workshop exercises to fit the constraints more comfortably. Where there is capacity, the project would also benefit from a second designer or researcher joining for the research activities, to increase efficiency further.