# Message test — https://www.weareyuma.com/en After reading your page, only 0 of 15 personas could quickly tell what problem it solves and who it is for. - **Page tested:** https://www.weareyuma.com/en - **Audience tested against:** VP of enrollment and financial aid at colleges and universities, ideally four year, private schools with graduate programs, who are responsible for the financial health of the school, making enrollment processes more efficient, and improving yield and net student retention. - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/homepage-yuma-dEB5kUU > 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? | 10/15 | 59% | 4 without hesitation, 4 with reservations | | 2. Relevance | Can they tell what it solves, and who it's for? | 0/15 | 19% | — | | 3. Value | Do they actually want it? | 2/15 | 21% | all with reservations | | 4. Differentiation | Is there a reason to pick you over the alternatives? | 1/15 | 19% | with reservations | **Brand alignment** (a side metric, not one of the four layers) — 1/15, 27% strength (with reservations). Does the page read like the company you actually are? **Fix first: Relevance.** Earliest failing layer, walking the sequence in order — not simply the lowest score. ### What they thought you sell 5 of the personas who named a category got it wrong: - 5× “IT/digital transformation consultancy” --- ## 02 · What to change, layer by layer Ordered worst-first. Specific edits, not a restatement of the score. ### Relevance **Add a sector line above the case grid naming the industries Yuma serves.** The cases jump from payroll to bakery chains to flower breeding with no stated pattern, so a reader cannot tell whether their industry is covered. Name the sectors and the recurring situations behind them. *effort low · impact high · tested against Name the audience* **Replace "a real business challenge" in the Cases intro with the two or three situations Yuma is called in for.** "Every case starts with a real business challenge" says nothing a reader can match to their own week. Name the triggers, such as post-merger architecture consolidation or a stalled AI pilot. *effort low · impact high · tested against Problem before solution* **Add a one-line situation label to each case card above the client name.** Case cards lead with company names most readers will not recognise, so the relevant problem is buried in the paragraph. Lead each card with the challenge, for example merging two enterprise architecture practices after an acquisition. *effort low · impact medium · tested against Front-load the meaning* ### Differentiation **Add a "Why Yuma" block stating what the firm does that larger consultancies do not.** Standing beside any other integrator, the page offers no reason to pick Yuma. Name the specific edge, such as one team covering strategy through run, with named delivery leads who stay on the account. *effort medium · impact high · tested against Give a reason to choose you* **Replace "one integrated approach" with what the combined team actually does on a project.** Every integrator claims to combine strategy, data and design, so the phrase carries no weight. Describe the working model, for example one contract, one team, from architecture assessment through to running the platform. *effort low · impact medium · tested against Concrete over abstract* **Add depth proof under the cases: years active, number of delivered programmes, retained clients.** A reader cannot tell whether Yuma has done this once or fifty times. Put counts and tenure next to the cases, such as years running Dümmen Orange's webshop. *effort low · impact medium · tested against Proof next to the claim* ### Value **Add before-and-after numbers to each of the three case summaries.** The cases describe scope only, so "measurable results" is contradicted by the cases themselves. Add what changed, such as release cycle time, cost per order or number of systems retired. *effort high · impact high · tested against Proof next to the claim* **Cut "turn ambition into solutions that work in the real world" and state a delivered outcome.** The opening promises value without naming anything a client received. Replace it with a concrete deliverable and timeframe, such as a phased data and AI roadmap in eight weeks. *effort low · impact high · tested against Specifics beat superlatives* **Rewrite each "Read more" service block to end with what the client can then do.** Each service lists a capability and stops, so "make better decisions, respond faster" repeats across AI, Cloud and Architecture without distinguishing them. Finish each block with the specific outcome that service produces. *effort medium · impact medium · tested against Tie the feature to the outcome* ### Clarity **Replace the H1 "AI Transformation done human" with the job Yuma is hired to do.** "AI Transformation done human" tells a reader nothing about what Yuma builds or fixes. Write a headline naming the work, such as moving enterprise data and applications to cloud and putting AI into live business processes. *effort medium · impact high · tested against Lead with the use case* **Add a line under "What we do" naming the roles and company size Yuma works with.** Nothing on the page says who should be reading it. State the buyer plainly, for example CIOs and enterprise architects at mid-sized European companies with multi-country operations. *effort low · impact high · tested against Name the audience* ### Brand alignment (side metric) **State the markets and countries Yuma operates in near the top of the page.** The client roster reads as Benelux but the page never says so, leaving readers to guess whether Yuma serves them. Name the geography and the languages the delivery teams work in. *effort low · impact high · tested against Name the audience* **Cut "AI Transformation" as the recurring label and name the delivery work instead.** Repeating "AI Transformation" across the hero, services and news reads as a trend label rather than a practice. Describe what the teams build and run so the firm sounds like an engineering partner. *effort medium · impact medium · tested against Plain language* **Pick one primary CTA; demote "Get to know us", "Explore all cases" and "View all news".** Four competing invitations leave a convinced reader unsure what to do. Promote a single next step, such as booking an architecture assessment conversation. *effort low · impact medium · tested against One clear next action* --- ## 03 · What the personas said ### The page never names a buyer, sector, or problem Respondents said positioning language never identifies a target role, industry or concrete problem statement, reading as a generic consulting shop. Multiple pointed out the opening is abstract enough that case studies are required to understand what the firm… > the copy is written at a level of abstraction that never touches a role or a sector, so I have to do the work of deciding if I'm the audience. > > — Senior Director of Enrollment, Private Universities, 1001-5000 > The reader is never named - no "for CFOs" or "for mid-size manufacturers" - I inferred "big complex org with a messy tech landscape" from the client logos, not from any direct statement. > > — Director of Student Financial Services, Higher Education, 5000+ > it opens with "AI Transformation done human" and a lot of abstraction about helping people "make better decisions, respond faster and adapt with confidence." I had to go down to the case studies > > — VP of Financial Aid, Private Universities, 5000+ > The phrases "AI creates value when it helps people make better decisions" and "turn ambition into solutions that work" — that's marketing language, not a description of what they build or sell, so I couldn't tell if this was a product, a platform, or just people for hire. > > — Director of Student Financial Services, Private Universities, 1001-5000 ### No higher-education or enrollment example appears anywhere on the page Across relevance, value and differentiation, respondents noted every case study comes from manufacturing, retail, HR, payroll or horticulture, with zero education signal. Several said they could not judge applicability to enrollment, retention or financial… > I'd need them to show me an enrollment or higher-ed-specific case with a measurable outcome — time-to-decision, conversion lift, something — before I'd take a meeting. > > — Senior Director of Enrollment, Private Universities, 1001-5000 > every case is manufacturing/retail/payroll-adjacent, so I have zero signal they've ever touched my world > > — VP of Enrollment, Education, 1001-5000 > with only Partena and Dümmen Orange as references and no higher-ed names, no pricing, and no specifics on what changes operationally - I wouldn't take the meeting. > > — Director of Student Financial Services, Higher Education, 5000+ > Ruled out — nothing here is specific to higher ed or financial services, let alone student financial aid/CRM admissions. The case studies (Partena, Le Pain Quotidien, Dümmen Orange) are all unrelated industries, so I have zero proof they understand my domain. > > — Director of Student Financial Services, Private Universities, 1001-5000 > A named higher-ed client or at least a line about enrollment, admissions, or financial aid data > > — VP of Financial Aid, Private Universities, 5000+ > The case studies are about enterprise architecture and data roadmaps for other industries, not higher ed admissions or aid modeling > > — VP of Financial Aid, Private Universities, 5000+ > Partena (HR/payroll architecture), Le Pain Quotidien (retail data roadmap), and Dümmen Orange (B2B webshop) are three different industries and none of them resemble enrollment, yield, or SIS work > > — VP of Financial Aid, Education, 1001-5000 ### Claims are consultant-speak with no measurable outcome attached Respondents flagged repeated generic outcomes across the AI, Cloud and Architecture sections and vague value claims with no numbers. Case studies were described as showing scope only, with no before/after metrics. > Honestly, nothing changes for me — there's no claim here tied to enrollment yield, financial aid processing, or anything my CRM does today. > > — VP of Financial Aid, Higher Education, 1001-5000 > When three different capabilities get sold with the same adjectives, I can't tell what any one of them actually does. > > — Senior Director of Enrollment, Private Universities, 1001-5000 > I'd want a case study with actual before/after retention or revenue numbers, or at minimum a reference call with that client, before I'd put this on my calendar over the next two quarters. > > — Vice President of Enrollment and Financial Aid, Education, 5000+ > No specific product, no pricing, just case blurbs about Partena and Dümmen Orange that don't tell me what they actually delivered or what it cost. > > — Director of Student Financial Services, Higher Education, 5000+ > "lasting driver of business value": value isn't defined, lasting isn't quantified, so I can't tell if this is a six-week audit or a multi-year retainer > > — VP of Enrollment, Education, 1001-5000 ### Respondents could not state a differentiator against named competitors Asked what sets the firm apart, respondents cited the absence of domain proof against Deloitte Digital, EAB and specialist vendors, and said case studies demonstrate no relevant sector or workflow expertise. One said the firm would lose outright to a… > to pick Yuma over them I'd need one comparable before/after number or a reference client in education, not just a well-run architecture merger in payroll. > > — Vice President of Enrollment and Financial Aid, Education, 5000+ > If the page had one named university or college client with a concrete before/after number, that would rule them in; as it stands, the absence of any higher-ed reference actually rules them out against a vendor who could show me that. > > — Director of Student Financial Services, Higher Education, 5000+ > If a competitor's page had even one line like "we helped a university of X size move retention by Y%," that would beat this instantly. > > — Vice President of Enrollment and Financial Aid, Higher Education, 1001-5000 > The three case studies — Partena (enterprise architecture), Le Pain Quotidien (data/AI roadmap across 230 locations), Dümmen Orange (webshop build) — are concrete enough to show they execute real projects, but none of them touch education, enrollment, or anything resembling my workflow > > — Senior Director of Enrollment, Education, 5000+ > If a competitor's case study had a number attached to a similar integration story, that would beat this page on the spot > > — VP of Enrollment, Higher Education, 5000+ ### European mid-market corporate signals read as wrong-market for a US higher-ed buyer Respondents read the Benelux client roster and branding as a generalist European shop serving enterprise IT, not US higher education. Two also noted misalignment with financial services, ERP and line-of-business CRM buyers. > The client logos — Partena, Le Pain Quotidien, Dümmen Orange — scream Benelux mid-market: payroll groups, bakery chains, flower breeders. That's who they normally sell to: European corporates needing IT modernization, not U.S. higher ed institutions. > > — VP of Financial Aid, Higher Education, 1001-5000 > the client roster (Partena, Le Pain Quotidien, Dümmen Orange) reads like a Benelux/European book of business rather than a US-native shop, which already makes me wonder how much US higher-ed exposure they actually have. > > — Senior Director of Enrollment, Private Universities, 1001-5000 > The tone doesn't feel written for someone like me at all: it's aimed at a European corporate IT or transformation buyer > > — VP of Financial Aid, Private Universities, 5000+ > The client names — Partena Professional Group, Le Pain Quotidien, Dümmen Orange — read as Belgian/Dutch mid-to-large enterprises, so I'd peg their normal buyer as a European corporate or industrial client, not a US education or public-sector org. > > — Senior Director of Enrollment, Education, 5000+ > The tone is not written for someone like me: it's broad brand copy ("AI Transformation done human," "turn ambition into solutions") aimed at a generalist exec or procurement committee, not a financial services director with an ERP problem. > > — Director of Student Financial Services, Education, 5000+ > nothing sector-specific, so they look generalist rather than specialized > > — VP of Financial Aid, Private Universities, 5000+ ### The systems-integrator identity does come through, even if the offering does not Three respondents correctly read the firm as a systems integrator and advisory practice selling strategy and AI bundling rather than a packaged product. One explicitly said this positioning lands more clearly than the product offering does. > it's a professional services firm I'd hire to run a project, closer to a Deloitte Digital or Capgemini than to an ERP vendor I'd evaluate for retention tooling. > > — Vice President of Enrollment and Financial Aid, Education, 5000+ > There's no product here, just a services shop pitching itself as a one-stop integrator for digital and AI initiatives > > — VP of Enrollment, Education, 1001-5000 > they say they bring "strategy, architecture, data, AI, software, cloud, security and design together" to help companies get value out of AI. It reads like a systems integrator or digital transformation consultancy, not a product I'd actually buy and deploy. > > — Senior Director of Enrollment, Education, 5000+ --- ## 04 · 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 forces prospects to do the firm's qualifying work for it.** *(high)* Five respondents said the opening is abstract enough that case studies are required to understand what the firm does, and no buyer, sector or problem is named. Comprehension is deferred to a section most readers never reach. - **The only thing the page reliably communicates is a category, not a reason to buy.** *(high)* Three respondents correctly identified a systems integrator and advisory practice, while five could not attach a measurable outcome and five could not name a differentiator. Recognising the category is not a purchase rationale. - **Case studies actively argue against the firm for this audience.** *(high)* Eight respondents found every example drawn from manufacturing, retail, HR, payroll or horticulture with zero education signal, and six read the Benelux roster as a generalist European enterprise IT shop. The proof assets confirm wrong-market fit. - **The page loses the deal before evaluation begins.** *(high)* Five respondents cited absent domain proof against Deloitte Digital, EAB and specialist vendors, with one saying the firm would lose outright. Six read the brand as serving a different market entirely. - **Repeating the same outcome language across AI, Cloud and Architecture makes the practice areas indistinguishable.** *(medium)* Five respondents flagged generic outcomes repeated across all three sections with no numbers, and case studies showing scope only with no before/after metrics. Three service lines read as one undifferentiated offer. - **Adding an education case study alone would not fix the page.** *(medium)* Beyond the eight respondents citing zero education signal, five found no measurable outcomes anywhere and five found no stated differentiator. The proof problem is structural, not a missing logo. --- ## 05 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | VP of Financial Aid | Higher Education | 1001-5000 | | 2 | Vice President of Enrollment and Financial Aid | Education | 5000+ | | 3 | Senior Director of Enrollment | Private Universities | 1001-5000 | | 4 | Director of Student Financial Services | Higher Education | 5000+ | | 5 | VP of Enrollment | Education | 1001-5000 | | 6 | VP of Financial Aid | Private Universities | 5000+ | | 7 | Vice President of Enrollment and Financial Aid | Higher Education | 1001-5000 | | 8 | Senior Director of Enrollment | Education | 5000+ | | 9 | Director of Student Financial Services | Private Universities | 1001-5000 | | 10 | VP of Enrollment | Higher Education | 5000+ | | 11 | VP of Financial Aid | Education | 1001-5000 | | 12 | Vice President of Enrollment and Financial Aid | Private Universities | 5000+ | | 13 | Senior Director of Enrollment | Higher Education | 1001-5000 | | 14 | Director of Student Financial Services | Education | 5000+ | | 15 | VP of Enrollment | Private Universities | 1001-5000 | --- ## 06 · 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 2026-10-20, then deleted along with the personas and their answers.