# Shaunak Chattopadhyay

Shaunak Chattopadhyay is a UX and product designer focused on user research, prototyping, and making digital products easier to use. Their posts describe work on website redesigns and product usability, alongside learning in product and project management.

- Profile: https://b2binfluencer.marketing/creators/shaunak-chattopadhyay/
- LinkedIn: https://www.linkedin.com/in/shaunak0825
- Topics: artificial-intelligence, product-management, ux
- Based on 12 dated posts, latest 2026-10-05

## Summary

Most useful for user research and prototyping to make digital products and websites easier to use.

- Best for: A UX design studio commissioning discovery and prototyping for information-heavy sites.
- Not for: Brands seeking sponsored placements, promotional content, or guaranteed reach to a large professional audience.
- Check first: Ask for portfolio walkthrough and confirm deliverables, timeline, compensation, terms in writing.

### Takeaways

- They returned to early research to clarify user and need in art e-commerce case.
- They treat bugs, unclear layouts, and navigation problems as reasons users abandon apps.
- They say designers should understand product strategy, roadmaps, and project constraints.

## Main ideas

- **Frame the problem before designing anything**: Shaunak Chattopadhyay argues that design work goes wrong when it starts without a framed problem. A clear frame forces teams to specify who the users and stakeholders are, what they need and why—specificity that fosters genuine empathy rather than surface-level understanding. The practical payoff, they say, is avoiding the wrong solution and finding the right balance between necessary and unnecessary work. They treat AI as a drafting aid, not an authority: generated suggestions must be checked against the original research before use.
- **Usability and functional failures are the same problem for users**: Shaunak Chattopadhyay argues that designers cannot assess a product through design and UX research alone. Their experience in testing informs the point: bugs, an unclear layout or other functional problems can drive users away, so evaluating the experience means considering usability, navigation and function together. They conclude that designers should learn beyond their own discipline to solve problems quickly, work within real constraints and drive business impact.
- **Designers should understand product strategy, roadmaps and project constraints**: Good design decisions depend on business and delivery context, so designers should understand how product and project work is structured. The lessons they summarize: product development is non-linear and varies by company; product teams work from a mission, user group, strategy, goals, roadmap and success measures; teams collaborate with support, marketing, sales and sometimes compliance, legal and security on go-to-market plans; strategy covers not just what to do but how and why; PRDs and roadmaps evolve and should prioritize outcomes over outputs; and project management, prioritization and risk mitigation are vital to delivering design.
- **Research and prototyping are the stated core of their practice**: Shaunak Chattopadhyay identifies user research and prototyping as their strengths. They point to internships at startups, hackathons and school projects where teams built products that users across different industries described as valuable and easy to use. They also emphasize their working style: teammates value their collaboration, willingness to keep learning and growth mindset, and they work best with both support and autonomy.
- **Learning is presented as continuous, public and unfinished**: The posts show a consistent habit of turning courses and project experiences into short public lessons, often using checklists and summaries and ending with a question for the audience. The underlying argument is that the field extends beyond design and research, so learning continues: after listing certifications in Figma, product management, project management and AI in UX design, they note there is more to learn in other areas.

## Work to read

- [Graduation post and portfolio overview](https://www.linkedin.com/posts/shaunak0825_i-am-happy-to-share-that-i-have-graduated-activity-7330971801046454272-hTpj)
- [How a framed problem reshaped an art e-commerce case study](https://www.linkedin.com/posts/shaunak0825_i-recently-went-back-to-a-stakeholder-project-activity-7507797858713247744-WNg7)
- [What a QA shift taught them about UX](https://www.linkedin.com/posts/shaunak0825_as-i-continue-with-life-long-learning-of-activity-7341466246057459714-xZD-)
- [Product management foundations for designers](https://www.linkedin.com/posts/shaunak0825_as-i-am-looking-for-my-next-uxproduct-design-activity-7442935054089027584-tmQz)
- [Why designers need project management basics](https://www.linkedin.com/posts/shaunak0825_certificate-of-completion-activity-7282051776013299713-8e28)

## Brand relationships

- **Rutgers Professional Science Master's Program** (employment)
- **Tech Fleet** (employment)
- **Oigetit.ai** (employment)
- **LSCC** (disclosed_partnership)
- **Claude** (mention)

## Partnerships

None of the five LinkedIn posts describes a sponsorship package, paid collaboration, rate card, media kit, or brand-partnership format. They cover a job search, course completions, a master's graduation, and reflections on UX practice. For a user-research or prototyping engagement, contact Shaunak Chattopadhyay through LinkedIn with the project scope. Confirm deliverables, timeline, compensation, and any partnership terms in writing; the posts publish no terms or sponsored-post pricing.

## Alternatives

- Staci Lapis, M.Ed: Choose Staci Lapis when the need is an education or learning product—a course platform, study tool, or service for students—or when the client needs inclusive design aimed at underserved audiences. The posts describe ten years of language instruction and community building before moving into UX design, an active interest in conversational, instructional, and visual design alongside AI and machine learning, and a built app, Studywavve, meant to break down geographic barriers to student collaboration: an onboarding flow that auto-populates a profile card, filtered search for resources and for students studying the same subjects nearby, scheduled virtual meetups, and feedback through instant messaging. For a project about student collaboration, multilingual learners, or equitable access to learning materials, that domain knowledge sits closer to the client's users than the art-marketplace research in Chattopadhyay's posts.
- Richard Best, MBA/MA: Richard Best is the better choice when the engagement shifts from a client research project to AI tools and strategy: deciding whether a design team should stay on Figma, adopt AI-native tools, or restructure roles as AI compresses timelines. The posts argue that Figma's innovation pace—variant bloat left unfixed for years, an AI prototyping tool capped around 60 prompts a month that burns credits on its own errors, an MCP server that strips semantic tokens and replaces them with raw hex values—puts users at career risk, not just inconvenience. They name alternatives (Pencil.dev, Paper, Google Stitch, Penpot, Subframe, Framer, v0 by Vercel, Lovable) and map role shifts: product designer toward full-stack product designer, UX researcher toward research automation lead, visual designer toward brand strategist, plus emerging titles such as AI experience architect and narrative systems designer. A studio whose client is asking how AI changes its team, hiring, or tool stack gets a sharper view from Best than from a post-level method walkthrough.
- Burhan Arif: Burhan Arif becomes the better pick when the studio's need shifts from product research to paid-social performance creative for a direct-to-consumer brand—static ads, email creative, and conversion angles at volume. The posts describe a route from drawing and graphic design through a print-shop internship to designing e-commerce ads, then running own stores and losing money on them, then founding Wasl Creative, described as a performance creative partner for DTC brands spending $500K+ a month across paid socials, with 3,000+ statics and emails delivered monthly, a 90% creative approval rate, and 20 to 30 active accounts. Arif also describes a research habit that overlaps with UX work: instead of opening a design tool when a brand asks for more creatives, they dig into reviews, comments, competitors, objections, and buying triggers, on the view that the best creative ideas sit in the customer's own words. A client whose real problem is ads that do not convert is better served by that work than by a user-research and prototyping plan.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/