For Minimal Block, your current panel solves a workflow problem, but the strategic pain point is still unclear unless you define who gets the strongest value first: seller, provider/platform, or buyer.
Given the UI shown, your app currently looks like a seller-side product conversion pipeline:
Upload product info/images/GLB → Gemini analysis → 3D/AR-ready product experience → merchant review → publish/analytics.
So the 3 strongest pain points should be these:
1. Sellers cannot create high-quality product visuals fast enough
Pain point
E-commerce sellers need better product media, but product photography, 3D modeling, variant images, and AR-ready assets are expensive, slow, and technically difficult.
Why this matters
A seller with 50 products cannot manually create:
This creates a clear business pain: slow catalog enrichment.
Minimal Block solution
Minimal Block should say:
“Upload product photos or a fallback GLB. We generate a commerce-ready product asset package: 3D preview, AI hotspots, product copy, quality score, and publish-ready metadata.”
Correct discovery questions
Ask sellers:
How many SKUs do you currently manage?
How often do you add new products?
How much does one product photoshoot cost you?
Do you currently use 3D/AR assets anywhere?
What stops you from using 3D today: cost, technical complexity, time, or lack of knowledge?
How many product images do you normally upload per product?
Do you have CAD/GLB files, or only product photos?
Which product category causes the most visual explanation problems?
Do you need variant visuals for colors/materials?
Would you pay more for faster asset creation or for measurable conversion improvement?
MVP feature that solves it
Product upload form
Multi-image upload
Optional GLB fallback
Gemini product analysis
AI-generated product description
AI-generated hotspot suggestions
3D readiness score
Publish-ready asset package
2. Sellers lose conversions because buyers do not understand the product clearly
Pain point
Product pages do not answer buyer uncertainty well enough.
The buyer asks silently:
If the product page does not answer these, buyers hesitate or leave.
Why this matters
This is the clearest commercial pain. Sellers care less about “3D” and more about:
Minimal Block solution
Minimal Block should say:
“We turn static product pages into interactive buying assistants using 3D preview, AI-generated hotspots, dimension explanations, material callouts, and AR/mobile preview.”
Correct discovery questions
Ask sellers:
Which products get the most customer questions before purchase?
What do customers usually ask about: size, material, color, compatibility, assembly, or fit?
Which products have high traffic but low add-to-cart?
Which products have many views but weak conversion?
Are your product pages mostly static images?
Do customers ask for extra photos or videos?
Do you know which product information is missing from your PDPs?
Would a guided product explanation reduce support messages?
Would you use AI-generated hotspots if you could approve them before publishing?
What would prove value to you: more add-to-cart, fewer support tickets, lower return rate, or faster product publishing?
MVP feature that solves it
3. Sellers and providers cannot measure whether 3D/AI product content improves business outcomes
Pain point
Most 3D/AR tools are visually impressive but commercially vague.
Sellers and platforms ask:
Did the 3D viewer increase add-to-cart?
Did hotspots reduce buyer confusion?
Which products need better visuals?
Which products have return risk?
Which SKUs should get 3D first?
Is this worth paying for?
Without analytics, your app becomes a “nice visual tool,” not a business product.
Minimal Block solution
Minimal Block should say:
“We do not only generate 3D product experiences. We measure buyer engagement and show sellers which product pages need improvement.”
This is especially important for providers like Shopify-style platforms, Amazon-like marketplaces, or Trendyol-like seller ecosystems. Providers care about seller success at scale.
Correct discovery questions
Ask sellers/providers:
Do you currently track product-page engagement beyond page views?
Do you know which product images shoppers interact with most?
Do you know which SKUs have high traffic but low conversion?
Do you track return reasons by product?
Would you prioritize 3D generation only for high-traffic/low-conversion products?
What analytics would convince you to keep using this product?
Do you need product-level recommendations?
Would you want a score like “visual completeness” or “return-risk score”?
For providers: would seller dashboards reduce seller support workload?
For providers: would automated product-quality scoring help marketplace listing quality?
MVP feature that solves it
Best strategic framing
Your 3 main pain points should be:
Priority | Pain Point | User | Product Promise
-- | -- | -- | --
1 | Creating rich product visuals is slow, expensive, and technical | Seller | “Upload product media, get commerce-ready 3D/AI assets.”
2 | Buyers do not understand products clearly enough from static pages | Seller + buyer | “Turn static PDPs into interactive buying assistants.”
3 | Sellers/providers cannot measure visual-content ROI | Seller + provider | “Track engagement and recommend product-page fixes.”
What your current panel already solves
Your current UI already points toward pain point 1:
product name
category
description
source images
manual GLB fallback
This is good, but incomplete.
Right now it says:
“Upload assets.”
It should say more clearly:
“Create a conversion-ready product experience.”
What to add to the panel
Rename page
Current:
New Product Conversion
Better:
Create Product Experience
or:
Generate 3D Product Page
or:
Create AI Visual Commerce Asset
Add step indicator
Use a clear workflow:
Product basics
Upload source media
Gemini analysis
3D/GLB preview
Hotspot approval
Publish
Track performance
Add missing fields
Add:
product dimensions
material
color variants
target marketplace
main buyer concern
product page URL
current return reason
current conversion issue
Add AI action button
Add:
Analyze Product with Gemini
Output should show:
Add seller intent question
This is critical. Add a field:
What problem are you trying to solve for this product?
Options:
Low conversion
Too many customer questions
High returns
Need better product visuals
Need marketplace-ready assets
Need AR/3D preview
Need product description/SEO
This single question will clarify exact solution direction.
Minimal Block should ask these 12 questions in onboarding
Use these as product discovery fields or seller interview questions:
What is your product category?
How many SKUs do you manage?
What product type is hardest to explain online?
What is the biggest buyer confusion for this product?
What is your current product-page problem?
Do customers ask for more photos or videos?
Do you have dimensions and material information?
Do you have GLB/CAD files or only images?
Which channel do you want to publish to: Shopify, marketplace, custom site?
What is your main success metric?
Do you want AI-generated copy, hotspots, or return-risk suggestions?
Do you want a quick preview or a publish-ready asset package?
Exact MVP recommendation
Build around this workflow:
Seller uploads product media → chooses business problem → Gemini analyzes uncertainty → seller approves AI hotspots → app creates 3D/product experience → seller gets analytics recommendations.
That solves all 3 main pain points without pretending to solve everything.
Final product statement
Minimal Block helps e-commerce sellers turn ordinary product media into AI-assisted 3D product experiences that reduce buyer uncertainty, improve product-page quality, and show measurable engagement insights.
This is stronger than:
“We generate 3D models.”
For Minimal Block, your current panel solves a workflow problem, but the strategic pain point is still unclear unless you define who gets the strongest value first: seller, provider/platform, or buyer.
Given the UI shown, your app currently looks like a seller-side product conversion pipeline:
Upload product info/images/GLB → Gemini analysis → 3D/AR-ready product experience → merchant review → publish/analytics.
So the 3 strongest pain points should be these:
1. Sellers cannot create high-quality product visuals fast enough
Pain point
E-commerce sellers need better product media, but product photography, 3D modeling, variant images, and AR-ready assets are expensive, slow, and technically difficult.
Why this matters
A seller with 50 products cannot manually create:
front/back/detail photos
360-degree views
GLB/AR assets
product hotspots
variant renders
SEO descriptions
marketplace-ready metadata
This creates a clear business pain: slow catalog enrichment.
Minimal Block solution
Minimal Block should say:
“Upload product photos or a fallback GLB. We generate a commerce-ready product asset package: 3D preview, AI hotspots, product copy, quality score, and publish-ready metadata.”
Correct discovery questions
Ask sellers:
How many SKUs do you currently manage?
How often do you add new products?
How much does one product photoshoot cost you?
Do you currently use 3D/AR assets anywhere?
What stops you from using 3D today: cost, technical complexity, time, or lack of knowledge?
How many product images do you normally upload per product?
Do you have CAD/GLB files, or only product photos?
Which product category causes the most visual explanation problems?
Do you need variant visuals for colors/materials?
Would you pay more for faster asset creation or for measurable conversion improvement?
MVP feature that solves it
Product upload form
Multi-image upload
Optional GLB fallback
Gemini product analysis
AI-generated product description
AI-generated hotspot suggestions
3D readiness score
Publish-ready asset package
2. Sellers lose conversions because buyers do not understand the product clearly
Pain point
Product pages do not answer buyer uncertainty well enough.
The buyer asks silently:
How big is it really?
What does the back/side look like?
What material is it?
Will it fit my room?
Does it look premium?
What makes this different from cheaper alternatives?
If the product page does not answer these, buyers hesitate or leave.
Why this matters
This is the clearest commercial pain. Sellers care less about “3D” and more about:
higher add-to-cart rate
fewer questions
better trust
lower hesitation
stronger product understanding
Minimal Block solution
Minimal Block should say:
“We turn static product pages into interactive buying assistants using 3D preview, AI-generated hotspots, dimension explanations, material callouts, and AR/mobile preview.”
Correct discovery questions
Ask sellers:
Which products get the most customer questions before purchase?
What do customers usually ask about: size, material, color, compatibility, assembly, or fit?
Which products have high traffic but low add-to-cart?
Which products have many views but weak conversion?
Are your product pages mostly static images?
Do customers ask for extra photos or videos?
Do you know which product information is missing from your PDPs?
Would a guided product explanation reduce support messages?
Would you use AI-generated hotspots if you could approve them before publishing?
What would prove value to you: more add-to-cart, fewer support tickets, lower return rate, or faster product publishing?
MVP feature that solves it
Public product preview page
Interactive 3D viewer
Hotspots for:
size
material
function
assembly
care
differentiator
Gemini-generated “buyer questions this page should answer”
Product confidence score
CTA/event tracking
3. Sellers and providers cannot measure whether 3D/AI product content improves business outcomes
Pain point
Most 3D/AR tools are visually impressive but commercially vague.
Sellers and platforms ask:
Did the 3D viewer increase add-to-cart?
Did hotspots reduce buyer confusion?
Which products need better visuals?
Which products have return risk?
Which SKUs should get 3D first?
Is this worth paying for?
Without analytics, your app becomes a “nice visual tool,” not a business product.
Minimal Block solution
Minimal Block should say:
“We do not only generate 3D product experiences. We measure buyer engagement and show sellers which product pages need improvement.”
This is especially important for providers like Shopify-style platforms, Amazon-like marketplaces, or Trendyol-like seller ecosystems. Providers care about seller success at scale.
Correct discovery questions
Ask sellers/providers:
Do you currently track product-page engagement beyond page views?
Do you know which product images shoppers interact with most?
Do you know which SKUs have high traffic but low conversion?
Do you track return reasons by product?
Would you prioritize 3D generation only for high-traffic/low-conversion products?
What analytics would convince you to keep using this product?
Do you need product-level recommendations?
Would you want a score like “visual completeness” or “return-risk score”?
For providers: would seller dashboards reduce seller support workload?
For providers: would automated product-quality scoring help marketplace listing quality?
MVP feature that solves it
Merchant analytics dashboard
Event tracking:
viewer loaded
model rotated
hotspot clicked
AR/mobile preview opened
add-to-cart mock clicked
Product-level scores:
3D readiness score
visual completeness score
return-risk score
buyer confidence score
Gemini recommendations:
“Add a dimension hotspot”
“Upload a back-view image”
“Add material detail”
“This product needs AR because scale is unclear”
Best strategic framing
Your 3 main pain points should be:
Priority | Pain Point | User | Product Promise -- | -- | -- | -- 1 | Creating rich product visuals is slow, expensive, and technical | Seller | “Upload product media, get commerce-ready 3D/AI assets.” 2 | Buyers do not understand products clearly enough from static pages | Seller + buyer | “Turn static PDPs into interactive buying assistants.” 3 | Sellers/providers cannot measure visual-content ROI | Seller + provider | “Track engagement and recommend product-page fixes.”What your current panel already solves
Your current UI already points toward pain point 1:
product name
category
description
source images
manual GLB fallback
This is good, but incomplete.
Right now it says:
“Upload assets.”
It should say more clearly:
“Create a conversion-ready product experience.”
What to add to the panel
Rename page
Current:
New Product Conversion
Better:
Create Product Experience
or:
Generate 3D Product Page
or:
Create AI Visual Commerce Asset
Add step indicator
Use a clear workflow:
Product basics
Upload source media
Gemini analysis
3D/GLB preview
Hotspot approval
Publish
Track performance
Add missing fields
Add:
product dimensions
material
color variants
target marketplace
main buyer concern
product page URL
current return reason
current conversion issue
Add AI action button
Add:
Analyze Product with Gemini
Output should show:
detected category
material guesses
missing image angles
suggested hotspots
buyer uncertainty risks
return-risk score
PDP improvement checklist
Add seller intent question
This is critical. Add a field:
What problem are you trying to solve for this product?
Options:
Low conversion
Too many customer questions
High returns
Need better product visuals
Need marketplace-ready assets
Need AR/3D preview
Need product description/SEO
This single question will clarify exact solution direction.
Minimal Block should ask these 12 questions in onboarding
Use these as product discovery fields or seller interview questions:
What is your product category?
How many SKUs do you manage?
What product type is hardest to explain online?
What is the biggest buyer confusion for this product?
What is your current product-page problem?
Do customers ask for more photos or videos?
Do you have dimensions and material information?
Do you have GLB/CAD files or only images?
Which channel do you want to publish to: Shopify, marketplace, custom site?
What is your main success metric?
Do you want AI-generated copy, hotspots, or return-risk suggestions?
Do you want a quick preview or a publish-ready asset package?
Exact MVP recommendation
Build around this workflow:
Seller uploads product media → chooses business problem → Gemini analyzes uncertainty → seller approves AI hotspots → app creates 3D/product experience → seller gets analytics recommendations.
That solves all 3 main pain points without pretending to solve everything.
Final product statement
Minimal Block helps e-commerce sellers turn ordinary product media into AI-assisted 3D product experiences that reduce buyer uncertainty, improve product-page quality, and show measurable engagement insights.
This is stronger than:
“We generate 3D models.”