# Message test — https://enlightn.io/ After reading your page, 14 of 15 personas would take a meeting to learn more — and value was the weakest of the four. - **Page tested:** https://enlightn.io/ - **Audience tested against:** Any market research buyer (market research agency, research platforms, brands, consultants, private equity firms, etc.) interested in higher quality respondents, tired of hearing over and over the same marketing speech from every single sample supplier. - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/enlightn-higher-quality-research-recruitment-v-ROfFIsA > 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 | 100% | all without hesitation | | 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? | 14/15 | 74% | all with reservations | **Brand alignment** (a side metric, not one of the four layers) — 10/15, 59% strength (all with reservations). Does the page read like the company you actually are? **Fix first: Value.** 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. ### Value **Add a named client or anonymised agency case beside the stats.** Every proof point is self-reported with no client, logo, or third-party check anywhere on the page. Add one case — category, study type, result — attributed to a named or described agency buyer. *effort high · impact high · tested against Proof next to the claim* **Attach study count and sample size to each benchmark stat.** "2.1× that of benchmark supplier traffic" and "Averages across the projects we've run to date" are unauditable. Say how many studies, how many completes, which benchmark supplier, and how good vs. bad quality was scored. *effort medium · impact high · tested against Proof next to the claim* **Fix the "0.0×" placeholder under the headline stat.** A broken figure sitting above the 2.1× explanation reads as a rushed page and taints every other number on it. Render 2.1× as the stat itself. *effort low · impact high · tested against Proof next to the claim* ### Differentiation **Move the head-to-head pilot offer into the top section.** The pilot against the incumbent supplier on live studies with agreed metrics is the one thing competitors don't offer, yet it appears nowhere above the fold. Lead with it as the next action. *effort medium · impact high · tested against Give a reason to choose you* ### Clarity **Define "Proven, Likely, or Unknown" where the terms first appear.** The match grades are used in section 01 before the reader learns what evidence earns each label. Add a one-line definition at first use. *effort low · impact medium · tested against Plain language* ### Brand alignment (side metric) **Replace "The interface is you and me" with continuity commitments.** The line "The engine is live. The interface is you and me" reads as a one-person shop that could vanish mid-study. State who covers fieldwork if the founder is unavailable, and that panel access sits with supplier partners, not one person. *effort medium · impact high · tested against Answer the live objection* **Quantify delivered volume beside the founder-led claim.** "Across the projects we've run so far" leaves capacity unknown, so the solo model reads as a scale risk. Give completes delivered, studies run, and maximum concurrent field capacity. *effort medium · impact high · tested against Specifics beat superlatives* **Put the founder's agency sampling background above the fold.** The credential that makes the founder-led voice credible to agency buyers never appears; the page only says "you and me". Name the years and the agency-side sampling roles early, near "one person who owns the result". *effort low · impact medium · tested against Proof next to the claim* --- ## 03 · What is working ### The offer reads clearly as a pre-vetted sample layer that sits on top of existing panels Ten respondents paraphrased the offer accurately: AI pre-profiled panelists matched before fielding, positioned as a quality layer alongside Dynata-type suppliers rather than a replacement, reducing terminations and disqualifications. > a quality-focused sample recruitment/panel vetting layer sitting on top of existing panel suppliers, sold with a quote-then-fieldwork-report structure > > — Head of Insights, Management Consulting, 1-10 > They're a sample/panel provider that pre-profiles panelists with AI-driven open-ended questions before matching them to your study, instead of dumping anonymous traffic into a screener > > — Research Operations Manager, Private Equity, 11-50 > it's essentially a research recruitment/sample quality layer that sits on top of existing panel suppliers like Cint or Dynata > > — Market Research Manager, Consumer Goods & Retail, 51-200 > they profile and vet panelists with AI before recontacting them, instead of just dumping anonymous traffic into a screener > > — Senior Market Research Manager, Media & Advertising, 201-500 > So it's really a "pre-qualified respondent recruitment" layer sitting on top of the same panel suppliers I already use — Toluna, Cint, Dynata, etc. > > — Director of Market Research, Market Research, 501-1000 > I'd call it a "verified panel recruitment / sample quality" service, not a new category — it's still sampling, just with better documentation of who's in the pool before you pay for completes. > > — Research Operations Manager, Private Equity, 5000+ ### The opening problem statement and named audience land as written Eight respondents said the problem and target audience are stated explicitly upfront rather than inferred or buried, with one noting the problem mirrors their own current Dynata supplier experience. > both were on the page within the first couple of scrolls, which is more than I can say for most of these pitches > > — Head of Insights, Management Consulting, 1-10 > the "Who this is for" section spells it out explicitly: "research agencies first... Insights managers, research directors, fieldwork leads" > > — Research Operations Manager, Private Equity, 11-50 > the problem is stated right in the opening framing: "60–70% termination rates... Data you can't fully defend" is the pain, and the fix is "profile panelists... before invite" > > — Market Research Manager, Consumer Goods & Retail, 51-200 > the problem's stated right up top and repeated: "60–70% termination rates" and disqualification from anonymous-traffic screeners, which is exactly what I'm dealing with on Dynata > > — Senior Market Research Manager, Media & Advertising, 201-500 > the "60-70% termination rates... Respondents learning to game screeners... Data you can't fully defend" section spells out exactly what's broken and why. I didn't have to hunt for it. > > — Director of Market Research, Market Research, 501-1000 > the problem is stated up front ("60-70% termination rates... data you can't fully defend") and the fix ("recontact only strong matches") follows right after, so I didn't have to hunt > > — Head of Insights, Management Consulting, 1001-5000 ### The head-to-head pilot against the current supplier is the one thing respondents said… Four respondents named the pilot with agreed metrics on live studies as unique versus known competitors and the only mechanism that would move them to a decision. > is willing to be graded head-to-head before I commit budget, which is the specific mechanism I'd need to trust a 20-30% CPI premium > > — Market Research Manager, Consumer Goods & Retail, 51-200 > A pilot on one of our actual live studies where their DQ rate and good-to-bad ratio beat our incumbent supplier by a margin big enough to eat the 20-30% CPI premium and still net out cheaper after re-fields — that's the only outcome that turns this from 'interesting call' into 'change the vendor list.' > > — Research Operations Manager, Private Equity, 5000+ > The thing that would actually move me is the offer to run "a pilot alongside your current supplier, same study, a slice of the sample, verdict metrics agreed upfront" — that's a concrete, checkable mechanism, not a claim I have to take on faith, and it's the one thing I haven't seen a competitor spell out that plainly. > > — Research Operations Manager, Private Equity, 5000+ ### The founder's prior agency sampling experience gives the technical tone credibility Two respondents said the founder-led startup voice credibly targets skeptical research agency buyers, citing prior agency-side sampling experience. > Small, early, founder-led shop — one person, not a team, per "Adrien Vermeirsch, founder" and "I run your study through it directly, and you work with one person who owns the result." > > — Director of Market Research, Market Research, 501-1000 > Tone-wise it's more direct and technical than the usual panel-vendor marketing — it leads with mechanism and caveats its own numbers ("one cohort, one supplier") rather than just hyping them > > — Head of Insights, Management Consulting, 1001-5000 --- ## 04 · What the personas said ### Key terms are used internally before they are defined One respondent flagged that the page deploys its vocabulary without defining it first. > terms like "Proven, Likely, Unknown" and "confident floor" needed a real definition before I'd use them in a sentence to my own team. > > — Research Operations Manager, Private Equity, 5000+ ### The headline quality stats are not believed without third-party or client proof Eight respondents rejected the 2.1x quality ratio, 69% recontact rate and CPI premium as self-reported, single-cohort, unaudited numbers with no named clients, logos, or study-size detail. > those numbers are self-reported from "the projects we've run so far" with no named client, no sample size beyond "one cohort, one supplier," and no third-party audit, so I can't take them at face value yet > > — Director of Market Research, Market Research, 5000+ > If the 2.1x quality ratio and the "69% recontact after four months" number held up on our own studies, it would actually mean fewer wasted completes and less time spent cleaning data > > — Research Operations Manager, Private Equity, 11-50 > the stats are averages across their own unnamed projects, not third-party verified, and there's no named client logo anywhere on the page to back it up > > — Senior Market Research Manager, Media & Advertising, 201-500 > the case rests on numbers like "2.1× good-to-bad ratio vs benchmark" and "69% recontact after four months" that they themselves flag as one cohort, one supplier, upper-bound > > — Head of Insights, Management Consulting, 1001-5000 > the headline numbers — 2.1x quality ratio, 69% recontact rate — are explicitly "averages across the projects we've run so far," one cohort, one supplier, self-reported. > > — Director of Market Research, Market Research, 501-1000 > The 20-30% CPI premium is the tell though: that's a specific enough number that I'd want to see it stack up against actual re-field costs and DQ write-offs before I believe the math works out net-positive. > > — Research Operations Manager, Private Equity, 5000+ ### A visible "0.0x" placeholder under the headline stat destroys trust in the numbers Two respondents cited the broken 0.0x figure as evidence the page was rushed, which contaminated their reading of the other proof claims. > the 2.1x good-to-bad ratio and the "0.0x" stat sitting right next to it is sloppy — either that's a broken template or the number's not populating, and on a page this deliberate about "proof," a visible bug in the one section that's supposed to be your evidence undercuts the whole pitch. > > — Research Operations Manager, Private Equity, 5000+ ### The solo founder-led operation reads as a continuity, capacity and scale risk Five respondents treated the single-operator model as a reason for concern about reliability, real volume, and vendor survival, not as a strength. > a founder-led outfit this early asking for a "book a 30-min intro call" and offering to personally run my study is a different risk profile than a vendor I'd renew a contract with, and I'd be evaluating continuity/scale risk as much as the product claims. > > — Research Operations Manager, Private Equity, 5000+ > the founder-led, "one person owns the result" framing also makes me wonder about bus-factor risk and whether they can actually scale delivery if I gave them real volume > > — Market Research Manager, Consumer Goods & Retail, 51-200 --- ## 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 entire value argument rests on numbers a majority of readers refuse to accept, so clarity of the offer buys nothing.** *(high)* Eight respondents rejected the 2.1x ratio, 69% recontact and CPI premium as self-reported and unaudited, while ten correctly paraphrased the offer. Comprehension is high and belief is absent, which means the proof layer, not the explanation, is the bottleneck. - **A broken "0.0x" placeholder on the page converts a proof problem into a competence problem.** *(high)* Two respondents cited the unrendered 0.0x as evidence the page was rushed and said it contaminated their reading of other claims. A visible defect sitting next to unaudited stats hands skeptics a reason to discount everything. - **Founder-led framing is a net liability as currently written.** *(high)* Five respondents read the solo operation as a continuity, capacity and vendor-survival risk; only two credited the founder's prior agency sampling experience. The page is spending its origin story where it costs more than it earns. - **The single mechanism that closes deals is under-built relative to the claims nobody believes.** *(high)* Only four respondents named the head-to-head pilot as unique and decision-moving, against eight who rejected the stats. The page leads with disputed numbers instead of the one offer that would let buyers generate their own evidence. - **Named clients and audited study detail are the missing asset, and no other element compensates for their absence.** *(high)* Eight respondents specifically cited the lack of named clients, logos and study-size detail; two more flagged capacity and volume doubts about a solo operator. Anonymous proof plus a one-person vendor reads as no track record at all. - **Strong top-of-page performance is wasted because the page collapses at the point of proof.** *(medium)* Eight respondents said the problem statement and audience land upfront and ten grasped the pre-vetted sample layer, yet eight rejected the supporting stats. Attention is earned and then spent on claims that fail. --- ## 06 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | Director of Market Research | Market Research | 5000+ | | 2 | Head of Insights | Management Consulting | 1-10 | | 3 | Research Operations Manager | Private Equity | 11-50 | | 4 | Market Research Manager | Consumer Goods & Retail | 51-200 | | 5 | Senior Market Research Manager | Media & Advertising | 201-500 | | 6 | Director of Market Research | Market Research | 501-1000 | | 7 | Head of Insights | Management Consulting | 1001-5000 | | 8 | Research Operations Manager | Private Equity | 5000+ | | 9 | Market Research Manager | Consumer Goods & Retail | 1-10 | | 10 | Senior Market Research Manager | Media & Advertising | 11-50 | | 11 | Director of Market Research | Market Research | 51-200 | | 12 | Head of Insights | Management Consulting | 201-500 | | 13 | Research Operations Manager | Private Equity | 501-1000 | | 14 | Market Research Manager | Consumer Goods & Retail | 1001-5000 | | 15 | Senior Market Research Manager | Media & Advertising | 5000+ | --- ## 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 2026-08-27, then deleted along with the personas and their answers.