# Message test — https://www.raspberry.ai/ After reading your page, only 6 of 15 personas could name a reason to pick you over a similar option. - **Page tested:** https://www.raspberry.ai/ - **Audience tested against:** mid-market and enterprise fashion and retail companies with high design activity and expensive, slow creative workflows—either because they produce many products or explore many concepts before deciding what to make. - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/raspberry-for-creatives-oenqYsQ > These answers are generated by AI, scored on Wynter's B2B Message > Layers framework using behaviorally-diverse simulated personas. The > methodology is real and the critique is directional. What a simulated > persona cannot have is a live budget, a renewal coming up, or a boss > asking about this quarter. --- ## 01 · The scores Every persona answered all four questions. These are four independent proportions of the same panel, not stages of a funnel. | Layer | Question | Cleared the bar | Strength | Of those who passed | | --- | --- | --- | --- | --- | | 1. Clarity | Do they understand what you do? | 15/15 | 81% | 2 without hesitation, 13 with reservations | | 2. Relevance | Can they tell what it solves, and who it's for? | 15/15 | 82% | 3 without hesitation, 12 with reservations | | 3. Value | Do they actually want it? | 14/15 | 74% | all with reservations | | 4. Differentiation | Is there a reason to pick you over the alternatives? | 6/15 | 44% | all with reservations | **Brand alignment** (a side metric, not one of the four layers) — 9/15, 56% strength (all with reservations). Does the page read like the company you actually are? **Fix first: Differentiation.** Earliest failing layer, walking the sequence in order — not simply the lowest score. --- ## 02 · What to change, layer by layer Ordered worst-first. Specific edits, not a restatement of the score. ### Differentiation **Replace the stat block's unsourced percentages with named-client results and the brand behind each.** Numbers like "90% lower production costs" and "30% saved on sample cost" carry no client, baseline or timeframe, so readers treat them as padding. Attribute each figure to a named brand and a stated before-and-after. *effort medium · impact high · tested against Proof next to the claim* **Add a line under "The Agentic Platform for" stating what Raspberry does that alternatives do not.** Nothing on the page says why a design team picks this over any other generative image tool. Name the specific reason: fashion-specific model training, brand-consistent multi-view output, or integration with existing 3D pipelines. *effort medium · impact high · tested against Give a reason to choose you* **Name the brands in the "Trusted by" row and pair each with one result.** Anonymous logos and unattributed case studies give nothing verifiable to weigh. Named accounts with a one-line outcome are the strongest proof available and should sit next to the claims they support. *effort low · impact high · tested against Proof next to the claim* ### Value **Add a line under the stat block naming the pilot scope and measurement period.** Readers cannot tell whether savings came from one product line over a month or a full season. State the scope, such as one handbag line over one season, next to the figures. *effort low · impact medium · tested against Specifics beat superlatives* ### Brand alignment (side metric) **Replace "The Agentic Platform for" in the hero with what the software actually produces.** "Agentic Platform" and "The Creative Assistant You Deserve" tell a first-time reader nothing about the output. Say it plainly: generate photorealistic renders, prints and campaign imagery from sketches and 3D files. *effort low · impact high · tested against Plain language* **Add case-study proof for Footwear and Jewelry, or drop them from the industries nav.** Footwear and jewelry are listed as industries but every proof point is apparel or bags, so those buyers see their sector missing. Add one named example per vertical you claim. *effort medium · impact medium · tested against Proof next to the claim* **Delete the leftover developer note at the top of the page.** The line beginning "what this script doing" is visible live and reads as an unfinished site. Remove it before anything else. *effort low · impact medium* --- ## 03 · What is working ### The tagline and feature list land: respondents grasped the core problem and the intended… Four respondents said the feature list immediately communicates the problem being solved and the tagline plus product nav clearly signal fashion design teams. One said the stated cost savings were concrete enough to justify a pilot on a single handbag line. > the feature list (Sketch to Render, On-Body Try On, Lifestyle Photography) makes the problem obvious without me having to dig: they're cutting the design-to-sample-to-photoshoot cycle > > — Design Director, Accessories, 201-500 > that's real money on our P&L given how much we spend on physical samples and photoshoots for bags specifically, where hardware, leather, and finish variations make sampling expensive. That's worth a meeting > > — Creative Director, Handbags, 1001-5000 > The tagline "Generative AI for Fashion Creatives" and "The Agentic Platform for... Sportswear, Fashion, Apparel, Accessories, Bags, Footwear" nails the audience > > — Design Director, Accessories, 201-500 > the "Multi-View Generation — Consistent front, back, quarter, and side views" line, because that's a concrete technical capability, not a vibe — if it genuinely holds model/product consistency across angles, that's a real gap > > — Product Designer, Apparel, 201-500 ### Named clients with dollar figures and a specific product case study are the only proof… Four respondents singled out the named client tier, quantified company sizes, and specific product case study as the strongest and most differentiating evidence on the page. One said client quotes were more credible than the generic time-saved statistics. > The quote about the Loop Small Flap Shoulder Bag from a named Senior Director of Technical Design is the strongest single proof point on the page because it's specific — a real product, a real deliverable, "saved about two weeks of sampling" — not a floating percentage > > — Design Director, Accessories, 201-500 > The Loop Small Flap Shoulder Bag case study with Lissette Siesholtz, Senior Director of Technical Design, is the one thing that'd actually tip me toward this vendor over a generic competitor — it's a named person, a named bag, and a specific claim > > — Creative Director, Handbags, 1001-5000 > The client quotes with real dollar figures (a $6B athletic apparel company, a €735M Italian retailer) are what stuck, not the generic "3 months saved" stats which read like marketing filler without sourcing. > > — Senior Designer, Footwear, 501-1000 > the stat strip ("3-5 hours saved per design," "85% fewer photoshoot resources") still isn't attributed to any one of those clients specifically. If a competitor on my shortlist had one named, verifiable enterprise logo with a public case study showing before/after production numbers, that would beat this page outright — vague scale descriptors plus anonymous quotes is proof-adjacent, not proof. > > — Design Manager, Fashion, 5000+ --- ## 04 · What the personas said ### The buyer is never stated and has to be inferred from logos and testimonials Three respondents said the target audience and buyer persona are only deducible from client logos and case studies rather than stated outright. One respondent, by contrast, found the industry and audience clearly stated. > I inferred that from the logos, industry list (Apparel, Jewelry, Leathergoods & Handbags, Footwear) and the case study roles. So the problem is obvious fast, the exact reader is inferred, not stated outright > > — Creative Director, Handbags, 1001-5000 ### Leftover developer notes are visible on the live page One respondent spotted unremoved developer notes on the live product page. > stray bit of text at the top ("what this script doing and how its hiding and showing current selected filters") that looked like leftover dev notes, not copy meant for a buyer — odd to see that on a live page > > — Senior Designer, Footwear, 5000+ ### Verticals listed in the nav have no matching proof, so footwear and jewelry buyers see… Seven respondents noted footwear and jewelry appear as target industries but every case study is apparel or bags. Two said the named-account credibility actively highlights the absence of their sector. > the Lissette Siesholtz quote about the "Loop Small Flap Shoulder Bag" saving "about two weeks of sampling" — is the closest thing to real proof here, but it's a bag, not a shoe, so it doesn't actually tell me it works for footwear lasts, materials, or multi-view consistency > > — Senior Designer, Footwear, 5000+ > not one of those named accounts is jewelry, and Jewelry only appears as a tag in the industry list at the top — no case study, no testimonial, no visual proof of metal or stone rendering anywhere on this page > > — Head of Design, Jewelry, 501-1000 > it's written for my counterpart at a fashion house, not at a jewelry company; I'm reading over someone else's shoulder rather than being addressed directly > > — Head of Design, Jewelry, 501-1000 > I'd want a footwear-only case study with named specs — a last, an upper material, a midsole callout — not just "Footwear" sitting in a nav list next to seven other categories; right now the word "Footwear" appears but nothing footwear-specific backs it up > > — Senior Designer, Footwear, 5000+ > Jewelry sits oddly in that industry list though — it's named as a vertical but every proof point and case study is apparel/footwear, so while the general problem and audience were clear fast, whether I'm actually the intended reader for those specific results is genuinely unclear. > > — Head of Design, Jewelry, 501-1000 > But "worth a meeting" depends on the footwear-specific proof — the named quotes I trust are apparel-heavy ($6B athletic apparel, €735M Italian retailer), and footwear has its own material/last complexity that sketch-to-render tools often fumble. > > — Senior Designer, Footwear, 501-1000 ### Every headline statistic is unsourced, so respondents treat the numbers as unusable Roughly ten respondents flagged that the percentage and cost-savings claims carry no methodology, baseline, or client attribution. Several said repeated unsourced stats read as padding and that they would need an audited pilot or live demo before accepting… > the 30% sample cost, 90% lower production costs, 3-5 hours per design — is unsourced and repeated so many times across the page it starts to feel like padding rather than evidence > > — Creative Director, Handbags, 1001-5000 > those numbers are floating with no methodology or client attribution next to them, so I'd go in wanting to see the actual sketch-to-render and on-body try-on output on our own product silhouettes, not their curated examples, before I believe the percentages apply to us > > — Design Director, Accessories, 201-500 > I'd want them to run a pilot on one handbag line, show me actual before/after sample counts and photoshoot spend for that line > > — Creative Director, Handbags, 1001-5000 > Right now the numbers have no attribution, so the meeting's purpose would be to get sourcing and a live demo on our own product images, not to hear the pitch again. > > — Design Manager, Fashion, 5000+ > The stats (3-5 hours saved per design, 30% lower sample cost, 95% faster campaign turnaround) are the hook, but they're unsourced on this page — I'd need the case studies with real before/after numbers, not just pull quotes, before I trust the category-wide claims. > > — Design Director, Accessories, 1001-5000 ### Anonymized case studies undercut the competitive-advantage claim One respondent said the anonymized case studies provide no verifiable proof of competitive advantage. > they're all anonymized dollar-figure companies with no names or numbers I can verify, so it's directionally believable but not proof > > — Product Designer, Apparel, 201-500 ### 'Agentic Platform' and the feature names hide what the software actually does Three respondents said the jargon obscures capabilities and that feature names never explain the technical mechanism. One noted the page bundles multiple generative features into a single workflow without distinguishing them. > it's not one single tool, it's a bundle of generative features stitched into one workflow > > — Creative Director, Handbags, 1001-5000 > I can't tell if "photorealism" means diffusion-model image synthesis or a texture overlay on a 3D render. "Full Brand Customizations Available" is the same problem: customization of what, trained how, on whose data — the noun phrases sound technical but resolve to nothing when I try to pin them down. > > — Design Manager, Fashion, 5000+ > the word "Agentic" tacked onto "Platform" — it's jargon that doesn't tell me what the software does technically, it's just a label riding on the AI-hype wave > > — Product Designer, Apparel, 201-500 --- ## 05 · The hardest read An adversarial pass over the findings. Every claim below was checked against the panel's own answers; unsupported ones were dropped. - **The page's core value argument collapses because the numbers carrying it cannot be verified.** *(high)* Eight of 15 respondents flagged that percentage and cost-savings claims carry no methodology, baseline, or attribution, with several calling repeated stats padding and demanding an audited pilot or live demo before accepting them. - **Naming footwear and jewelry in the nav is a self-inflicted wound: the page advertises coverage it then disproves.** *(high)* Five respondents saw those verticals listed while every case study was apparel or bags, and two said named-account credibility actively spotlighted the gap in their sector. - **The only proof that works is doing double duty, and it is too narrow to carry the page.** *(high)* Four respondents named the client tier, dollar figures and single product case study as the strongest evidence, while anonymized case studies were called unverifiable and the stats unsourced — the credible proof is confined to one product category. - **Comprehension is shallow: respondents grasp the problem but not the product or the buyer.** *(medium)* Four respondents understood the tagline and feature list, yet three said 'Agentic Platform' and feature names hide the actual mechanism and three said the buyer is only inferable from logos and testimonials. - **The page outsources its positioning work to its customer list, which fails for anyone not already represented there.** *(medium)* Three respondents could only deduce the audience from logos and case studies, and five found those same references excluded footwear and jewelry — non-apparel readers get no signal they belong. - **Basic production sloppiness undermines the credibility the named clients earn.** *(medium)* A respondent found unremoved developer notes live on the product page, sitting alongside unsourced statistics and anonymized case studies that eight and one respondents respectively judged unverifiable. --- ## 06 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | Senior Designer | Footwear | 5000+ | | 2 | Design Director | Accessories | 201-500 | | 3 | Head of Design | Jewelry | 501-1000 | | 4 | Creative Director | Handbags | 1001-5000 | | 5 | Design Manager | Fashion | 5000+ | | 6 | Product Designer | Apparel | 201-500 | | 7 | Senior Designer | Footwear | 501-1000 | | 8 | Design Director | Accessories | 1001-5000 | | 9 | Head of Design | Jewelry | 5000+ | | 10 | Creative Director | Handbags | 201-500 | | 11 | Design Manager | Fashion | 501-1000 | | 12 | Product Designer | Apparel | 1001-5000 | | 13 | Senior Designer | Footwear | 5000+ | | 14 | Design Director | Accessories | 201-500 | | 15 | Head of Design | Jewelry | 501-1000 | --- ## 07 · Before you act on this The methodology is real, and the critique is directional. What a simulated persona cannot have is a live budget, a renewal coming up, or a boss asking about this quarter. **Validate anything you're betting on with real ICPs who are actually in-market.** Being wrong is more expensive than you think. Finding out is cheaper than you'd guess. Wynter runs message testing with verified B2B professionals — trusted by HubSpot, RingCentral, Shopify, Cognism, Paddle, Veeam, Rippling and Miro. This report is kept for 60 days from 2026-09-22, then deleted along with the personas and their answers.