"One designer is the bottleneck."
Services / Dedicated Design Pods
Embedded product
design capacity.
Add a senior design pod that learns your product instead of resetting every task. Dedicated UI/UX design team and embedded product design support for growing SaaS and technology companies.
most teams
The trap
One designer becomes the bottleneck, freelancers reset context, hiring takes too long and agency layers slow feedback. The roadmap keeps moving while design capacity keeps restarting.
The design problem
A rotating task queue can deliver files.
It cannot compound product context.
The pod model keeps the same design context close to product and engineering while adding senior review and flexible capability when priorities change.
we've heard this before
Sound familiar
"Freelancers reset context."
"Hiring takes too long."
"Agency layers slow feedback."
Who hires us for this
The brief changes by role.
The need for clarity does not.
We work with the person accountable for the decision and bring users and implementation teams into the right moments.
Head of Product
You need reliable design capacity across the roadmap.
Embed a team that learns the product.
Founder
You need senior design without building a full department.
Gain product depth with lower hiring overhead.
Design leader
The internal team needs extra hands and review.
Scale capacity without losing standards.
What you get
A complete path from
uncertainty to implementation.
The depth adapts to your product stage and the decision the work must support.
Dedicated design
capacity
Defined with the context, states and rationale your team needs to act.
Weekly product
collaboration
Defined with the context, states and rationale your team needs to act.
Figma and documentation
ownership
Defined with the context, states and rationale your team needs to act.
Senior design
review
Defined with the context, states and rationale your team needs to act.
Roadmap prioritisation
support
Defined with the context, states and rationale your team needs to act.
Implementation and
QA support
Defined with the context, states and rationale your team needs to act.
A fit if
- Your roadmap needs steady product design capacity
- You want designers who learn the product over time
- Internal teams need support without a long hiring cycle
- You need UX, UI, systems, handoff and QA in one rhythm
Not the right time if
- You only need one small design task
- You want anonymous execution without collaboration
- No one can own priorities on your side
- The roadmap is too unclear for a pod to support
trial first
Process
Step 01
Align on product,
team and priorities
Understand the roadmap, team rhythm, product context and the decisions design needs to support.
Step 02
Embed into tools
and delivery rhythm
Join the working system so collaboration happens where your product team already moves.
Step 03
Work through roadmap
with visible progress
Design, prototype, document and review priority work with clear weekly movement.
Step 04
Review outcomes
and adjust capacity
Measure what changed, identify the next priority and scale the pod around real need.
3-DAY TRIAL
Free trial
Give the pod one real roadmap task. In three days you will see how we learn context, communicate and move a product decision forward.
The trial
Test us with a free 3-day trial
Give the pod one real roadmap task. In three days you will see how we learn context, communicate and move a product decision forward.
01
Pick the task
Choose one real roadmap task.
02
We learn context
We review the product, constraints and decision behind it.
03
See the movement
We move the product decision forward with clear reasoning.
04
Choose what next
Continue only if the work feels useful.
Trust
Design partner
3months
Every designer trained on SaaS UX before client work
1:1
One dedicated designer, embedded like your own hire
Lead
Head of Design reviews everything that ships
40+
SaaS & AI products designed and built
Proof
Where this already worked.
78% reduction in support response time
How Clair AI Cut Support Response Time by 78% With Conversational Agent UX
Desisle designed Clair AI's white-label conversational agent platform in 14 days, cutting support response ti…
15-day concept-to-prototype sprint
15-Day Design Sprint: Building an AI Analytics Dashboard From Concept to Prototype
Desisle designed a complete AI-powered analytics platform for Adapt Insights in 15 days across 12 modules, fr…
Quick answers
Before you ask.
What is included in Dedicated Design Pods?
A dedicated pod works inside your roadmap with consistent context across discovery, UX, UI, systems, prototyping, handoff and design QA. Deliverables are adapted to product stage and the decision the work must support.
Can Desisle work with our existing product team?
Yes. We work with founders, product, design and engineering teams, and bring the right people into the right decisions.
Will the design be ready for developers?
Yes. We define flows, states, edge cases, responsive behavior and handoff notes so engineering can build with less interpretation.
How do you measure whether the work improved the product?
We connect the work to roadmap speed, product adoption, design consistency, handoff quality, delivery confidence or another metric agreed before work starts.
What can we test during the 3-day free trial?
Give the pod one real roadmap task. In three days you will see how we learn context, communicate and move a product decision forward.