1,994 studies is a lot of reading. These visual treatments reveal patterns the catalogue can’t: what topics dominate, how the evidence stacks up by tier, where the soil-to-health chain thickens and thins, which regions lead the literature, and how different farming systems actually compare on the metrics that matter. Filter by your persona or topic to see the same data through your lens.
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Showing the complete catalogue view — 1,994 records, all eight mock-ups in view.
MOCK-UP 01 · Topic Word Map
Where the evidence sits today.
Every term the catalogue tags, sized by how many records carry it. Cluster colours group related themes (soil, nutrition, systems, health, policy).
FarmerBuyerInvestorAcademia
Why it matters: readers arriving for the first time can see the shape of the catalogue in 3 seconds. Topics that dominate become chip filters in the catalogue page; under-served clusters reveal where institutional submissions are most welcome.
MOCK-UP 02 · Evidence Tier Pyramid
Not all evidence is equal.
A four-tier pyramid with live counts and example records. Meta-analyses sit at the apex; narrative commentaries form the base. Clicking a tier filters the catalogue to that level.
AcademiaBuyer
Why it matters: academic readers can jump straight to T1–T2 without sifting. Food buyers and investors get a quick signal on how much of a claim is meta-analysis-grade versus narrative. Industry submissions know where they’ll sit.
MOCK-UP 03 · Soil-to-Health Journey
The chain, link by link.
Five stages from farming practice to human outcome, with the number of studies evidencing each link. Weaker links signal research gaps; thick links signal consensus.
FarmerBuyerAcademia
Why it matters: this is the diagram the whole Vitagri thesis rests on — and it’s the one journalists, policymakers and investors ask for. Showing link strength directly signals where the science is settled and where we’re commissioning new work.
MOCK-UP 04 · Citation Network
Which topics travel together.
Each node is a topic tag. Edges connect topics that appear in the same record. Thicker edges = stronger co-occurrence. Clusters emerge without us designing them.
AcademiaInvestor
Why it matters: this reveals the structural shape of our evidence. Tight clusters identify mature research programmes; isolated nodes identify under-linked themes worth developing (good for funder pitches).
MOCK-UP 05 · Publication Timeline
When the science arrived.
Catalogue records by publication year, stacked by tier. You can see the T1 meta-analyses appearing from 2014 onwards and the policy layer thickening after 2020.
AcademiaInvestor
Why it matters: investors get a velocity curve, academics see the inflection point (2014 for meta-analyses), and it’s a visceral way to argue that the evidence is arriving faster every year.
MOCK-UP 06 · Topic Constellation
The evidence, as a night sky.
A radial field where each star is a research topic. Distance from centre = maturity (centre = foundational, edge = emerging). Size = volume of evidence. Constellations group related strands.
All personas
Why it matters: the creative option. Turns the catalogue into a brand-defining image. Works especially well as the hero visual on press, investor decks, or as a shareable social artefact. Less literally useful, more memorable.
MOCK-UP 07 · Global Evidence Map
Where the science is happening.
Study density by country and region, with UK-relevance shading. Circle size reflects the number of indexed records; colour tone marks how UK-contextualised the evidence is.
InvestorBuyerAcademia
Why it matters: directly answers “is this just UK-centric?” (no — but UK-contextualised). Good for international partners, investor decks arguing global relevance, and journalists wanting a single image.
MOCK-UP 08 · Farming Systems Radar
How the systems actually compare.
Six axes aggregated from the evidence: nutrient density, soil organic matter, biodiversity, yield per hectare, carbon sequestration, water quality. Each system’s polygon is sized by weight of evidence.
FarmerBuyerInvestor
Why it matters: this is the image farmers, buyers and investors will take away. It puts nutrient density alongside carbon and yield — forcing a whole-system comparison instead of a single-metric argument. Requires careful scoring methodology to be credible.
Which of these would you like built properly?
Each mock-up is a candidate for a live, filterable view of the 1,994-record catalogue. Tell us which pull you in — we’ll wire the first three to real data next.
