Ashish Ranjan / Product Design Lead

Trust is the interface.

I design AI and commerce products where uncertainty turns into action.

Stoner's Design MCP for any AI.

Connect 51 product, visual, frontend, and motion skills to the agent where you already work.

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The throughline

The interface usually arrives late.

First comes doubt. Delay. A system users cannot see. That is the work.

Doubt first.

Before pixels, find the hesitation.

Make the system visible.

Progress, proof, receipts, recovery.

Then make it quiet.

The best control feels obvious.

Use AI as a translator.

Not magic. Just better intent capture.

Ship the trust loop.

A screen is done when behavior changes.

Confidenceisnotascreen.Itisthemomentauserstopscheckingiftheproductunderstoodthem.

Five chapters

Confidence. Activation. Control.

01 / Consumer AI / Commerce

AI Trial Room

Turn fashion browsing into confidence, not homework.

AI stylistVirtual try-onStyle memoryRecovery states
AI Trial Room case study preview
24%try-on intent lift
18%full-look saves
32kguided sessions

The challenge

Online fashion forces users to imagine fit, proportion, mood, and full-outfit compatibility from a product grid.

The solution

The design challenge became: how can AI reduce imagination work while preserving user control and trust?

See Case Study

02 / Activation / Trust / Mobile UX

Equal AI Onboarding Drop-offs

A silent wait made activation feel broken.

ActivationProgress statesRecoveryMobile UX
Equal AI Onboarding Drop-offs case study preview
68.7%onboarding completion
-47%app exits
550kDAU scale

The challenge

The product needed users to complete call-forwarding activation before the assistant could create value.

The solution

The issue was not only technical completion. It was perceived trust during a moment where the app gave no evidence of progress.

See Case Study

03 / AI controls / Preference systems

AI Muting Promotional Calls

Users wanted fewer junk calls, not more settings.

AI controlsInformation architectureTrust loopMixpanel
AI Muting Promotional Calls case study preview
993kusers opened the page
469kcaller mutes
99.2%category mute reliability

The challenge

Users were not rejecting every unknown call. They wanted Equal to understand the kinds of calls they were done with.

The solution

The problem shifted from settings management to intent expression: choose the type of interruption first, then refine control.

See Case Study

04 / Commerce / Trust / Brand experience

Meesho Mall

Turn brand recognition into purchase confidence.

Commerce trustStorefront systemsBrand experienceRecovery
Meesho Mall case study preview
4%Mall share of GMV before
7%Mall share of GMV after
+75%relative GMV growth

The challenge

Meesho had earned a clear place in users' minds: affordable, accessible, and full of variety. But a lower price on a familiar brand could create suspicion instead of confidence.

The solution

The challenge became turning brand recognition into purchase confidence without relying on a badge or a premium-looking page alone.

See Case Study

05 / Product strategy / Monetisation

Equal AI — The paywall that waits.

Designing a paid call assistant that earns the right to ask.

Product strategyMonetisationTrustAI assistant
Equal AI — The paywall that waits. case study preview
34%would pay
18%might pay
₹100median per month

The challenge

Users valued Equal, but latency, reliability, and important-call concerns made an early paywall feel like a tax on unresolved risk.

The solution

Monetisation became a state machine: trust first, proof second, and payment only after success.

See Case Study
How I work

Strategy first. Interface second. Evidence always.

Product strategy

Finds the real job hiding inside the request.

AI interaction design

Makes the machine explain itself.

Visual systems

Keeps complexity quiet.

Business impact

Turns trust into movement.

Experience

Equal

Product Design Lead

AI assistant setup, call preferences, activation, trust loops, and 0 to 550K+ DAU scale.

Meesho

Design Lead

Homepage, discovery, experiments, design systems, and sale moments.

Noon, Myntra, Noise

Senior design and motion roles

AR shopping, e-commerce UX, campaign discovery, motion, and product storytelling.
Design perspective

Start before the interface.

Define the behavior. Name the constraint. Pick the success signal. Then make the screen feel obvious.