Kishalaya Pal

Kishalaya Pal

Sales@Ctruh| XR and AI for the web

About

Building the future of retail with XR-powered immersive commerce. I live at the intersection of AR/VR tech and conversion strategy, obsessed with how spatial computing, 3D product visualization, and immersive try-ons are rewriting the retail funnel. I track every differentiating feature launching across the AR/XR value chain: hardware, SDKs, WebXR, and CX layers, and love dissecting what actually moves the needle on drop-off and conversion for brands. Currently gearing up to launch something in this space myself. Always up for a conversation on immersive tech, retail innovation, or funnel psychology. Let's connect.

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Forums

What do transcripts miss that sends you back to the recording?

Nine years of working closely with insights teams across CPG, BFSI, and tech has given us a consistent observation: the transcript is where researchers start, but the recording is where they go when the transcript isn't enough.
They go back to hear how someone said something. To check whether the pause before an answer was genuine uncertainty or just thinking time. To see whether the person's expression changed when they described a feature they claimed to like. To catch the moment when engagement visibly dropped when they stopped leaning forward, when their eyes moved away from the screen even while their words stayed polite and positive.
That gap between the transcript and the recording is where a significant amount of research insight lives. And it's also where the most time gets consumed in manual analysis. Researchers who run 20 or 30 interviews know what it's like to sit through hours of footage looking for the three or four moments that actually matter.
This observation that the transcript captures what was said but not how or with what underlying feeling is fundamentally what drove us to build the emotion and behavioural layer into Mira. Not to replace researcher interpretation, but to give researchers a way to find the right moments faster.
I'm genuinely curious: what's the signal you find yourself wishing you had after you've finished going through a set of interviews? What consistently drives you back to the recording that the transcript alone doesn't give you? And have you found any workarounds annotation practices, tagging systems, collaborative review setups that help you capture more of what the transcript loses?

Flowdy V2 turns Shopify products into shoppable blog posts

Small update for the people who ve been following Flowdy

A while back, I posted here looking for people to help shape Flowdy and some of you actually did. This is where that feedback led.

The honest problem with V1 was simple: it only helped merchants who already had content. Flowdy could turn blog posts and product descriptions into shoppable text, but if a store wasn t writing blog articles in the first place, there wasn t much to work with. And for a lot of stores, that s just the reality.

The Hiring Story That Changed About Resumes Forever

A few years ago, every career conversation started with one question.

"Can you send me your resume?"

In 2026, that question is slowly changing.

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