Velocity
We move fast by designing with AI (but intentionally). Our AI-enabled prototyping workflow compresses lengthy design iterations.
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We move fast by designing with AI (but intentionally). Our AI-enabled prototyping workflow compresses lengthy design iterations.
We support the full product lifecycle, from early opportunity framing and UX strategy to scalable systems and marketing materials.
We don't ship work we wouldn't defend. We hand off work engineering teams can execute confidently, or implement the front end ourselves.
Access flexible design capacity without the overhead of recruiting, HR, payroll, or benefits. Scale the right mix of talent up or down as priorities change.
Use design to unblock your product growth throughout its lifecycle.
We help you validate early-stage ideas before you overinvest in development. Through fast concept framing, rapid interaction prototypes, and evidence-based feedback loops, you get clarity on what is truly worth shipping first.
We shape your launch experience to improve first impressions, comprehension, and activation. From the hero story to product touchpoints, we help teams find product-market fit with a sharper and more coherent UX signal.
We turn growth into a repeatable design system instead of isolated campaign work. By connecting experimentation, product analytics, and brand consistency, we help teams improve conversion without fragmenting the experience.
We harden quality, governance, and workflows so mature products can scale sustainably. We support accessibility, compliance, and DesignOps practices that keep execution reliable across teams and releases.
Bring in senior- or staff-level experts across complementary disciplines on demand, without repeating the sourcing and contracting process.
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San Jose, CA
Product Designer, Owner
New York, NY
Bolt Wang, PhD
Staff User Researcher
Los Angeles, CA
Brand Designer
Suzhou, China
Yida Zhang
Front-End Expert
Singapore
HCI Researcher
Both models offer the same services, talent, and quality standards. Each includes a free consultation call and support for client vendor registration.
$200/ hour
Focused expertise when your team needs extra momentum. Variable billing for lighter or unpredictable monthly usage.
$12,000/ mo
Reserved capacity for teams that want the responsiveness of an in-house designer with the versatility of a design generalist.
Yes. We do not just use AI. We use the strongest models available, which are usually also the most expensive, such as Claude Fable 5 and GPT-5.6 Sol.
AI helps us synthesize research, explore concepts, build prototypes, draft and refine copy, accelerate implementation, and review work for gaps. It makes production faster, but judgment, direction, and accountability remain human.
No. I only bill for time when the work has my active attention. So the better AI gets, the less I earn.
When an AI system is running a long task, I usually pick up another pending task for the same client instead of repeatedly pausing and restarting the timer. I never bill the same minute twice.
fwdc does. Model subscriptions and usage fees are business expenses. They are never passed through to the client or listed as a separate invoice charge.
Yes. On-demand invoices aggregate time by day or week and show the time spent on each task. On request, I can also provide an hourly spreadsheet exported from Toggl.
Monthly subscriptions are prepaid, so the invoice itself is not itemized. At the beginning of each month, we provide a summary of the previous month's work and usage.
We do not restrict ourselves to a particular industry, but our strongest focus is enterprise products that shape how people work with AI and data. Consumer and entertainment experiences are generally not a good fit.
We focus on product design and the related needs that emerge across a product's lifecycle. We do not take on standalone landing pages, branding, visual design, or video production as isolated engagements.
I do most of the design work, and I am the point of contact for every design engagement.
You can request a specific talent, or I can recommend someone when specialized help would improve the work. You can work with that person directly, or I can manage the collaboration for you.
Embedded partnership only works if the collaboration feels native. I do not ask clients to adopt my preferred stack. My tooling follows theirs.
For two current clients, that means Slack, Zoom, Notion when needed, Gmail, and our own model subscriptions. For another, it means Teams, Fibery, Outlook, and only client-approved LLMs because of compliance requirements.
We do not make clients pay for a rigid, performative design process. The real loop is simple: understand the problem, form a hypothesis, build a prototype, validate it, use the evidence and feedback to build consensus, deliver continuously, and repeat.
The methods change with the problem. The underlying discipline does not.
Yes. One possibility is that I am not trying to make as much money as possible. This is not a scalable agency model, and I do not intend to turn it into one.
This practice gives me a durable way to keep creating value for different teams while I stay selective about the next long-term direction I commit to. I value the control it gives me over my time, so I deliberately limit capacity. I accept no more than two monthly subscription clients at a time.
We are a pragmatic, output-focused practice for serious products that need to be highly usable.
If you have the budget and need expressive art direction, a major branding program, or another specialist discipline, I am happy to recommend a top studio or agency that is better suited to it. That recommendation is a billable service too.
fwdc is a product design and consulting studio focused on early-stage and scaling technology teams. We partner with founders and product leaders to clarify product direction, structure user experience systems, and accelerate execution across the full lifecycle.
Led by Zhibang Jiang with experience across enterprise, research-driven, and AI-enabled environments, fwdc was built to operate differently from traditional agencies. We work as embedded partners who integrate directly into product teams to strengthen decision-making, reduce iteration waste, and improve long-term product coherence.