A school page links outward to its places and never to another school. This section adds that edge: three nearby schools of the same phase and a comparable intake, each a crawlable link and each addable to the basket. The design separates hard filters from soft preferences and never confuses them. Selectivity, provision and opposite-sex intake are claims the section cannot make, so they never relax, even where that means no section renders. Gender and religious character describe closeness of fit, so they relax in tiers — and the card states what actually survived rather than padding with a match it did not earn. Includes the mockup the design is drawn against, with all three tier states live in both themes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
13 KiB
Similar Schools Nearby — Design
Date: 2026-09-21 Status: awaiting review Scope: school detail pages, both phase templates
Goal
Give a school detail page an answer to the question every reader arrives with after the results tables: and what else is around here?
Today a school page links outward to its place pages through
components/school/NearbyPlaces.tsx and nowhere else. It never links to another
school. This section adds that edge — three nearby schools of the same phase and
a comparable intake, each a crawlable link and each addable to the comparison
basket in one click.
Mockup, with all three tier states live in both themes: https://claude.ai/artifact/168KdUMcfkUeGWW2FGjuec
Source of the same page in the repo: mockups/similar-schools-nearby.html.
The constraint that shapes everything
A nearby school is not automatically a comparable school.
The section's whole value is that a reader treats what it shows as a shortlist. That makes every card an implicit claim that the school is a realistic alternative, and there are three ways that claim goes wrong:
- A selective school beside a non-selective one. Their intakes are different by construction, so putting their Attainment 8 figures side by side invites a conclusion the data cannot support.
- A special school, PRU or AP beside a mainstream school. This is the same error PR #70 fixed for the England benchmark, where Greenmead (URN 101099) rendered "0% — 62 below England".
- A single-sex school of the opposite sex. Not a weak match — not an option at all.
So the design separates two kinds of rule, and never confuses them:
- Hard filters encode the claims above. They are never relaxed, at any distance, even if that means the section does not render.
- Soft preferences describe how closely the intake resembles this school's. They relax in tiers, and the card's own text always states what survived.
Everything below follows from that split.
Selection algorithm
A backend helper, _similar_schools_payload(urn) in backend/app.py, modelled
on the existing _places_payload(urn) and operating on the cached
load_latest_school_data() frame — one row per URN, already carrying
latitude, longitude, phase, gender, religious_denomination,
admissions_policy, school_type and status.
Hard filters
| Filter | Rule |
|---|---|
| Self | urn is excluded |
| Status | GIAS status must be open |
| Coordinates | both latitude and longitude present on both schools |
| Phase | same phase group via the existing PHASE_GROUPS map |
| Provision | special/PRU/AP match only each other |
| Selectivity | selective matches selective; non-selective matches non-selective |
| Gender | Boys never matches Girls; Mixed is compatible with both |
PHASE_GROUPS is reused rather than re-derived so an all-through school is
offered correctly on both the primary and secondary sides, exactly as it already
behaves in search.
The provision filter needs a backend counterpart to the frontend's
isSpecialSchool() in nextjs-app/lib/utils.ts:897, reading the same GIAS
establishment types through backend/gias_codes.py. The two must agree: a
school the frontend treats as special for benchmarking but the backend treats as
mainstream for matching would be dropped from its own England comparison and
then offered as a peer to a mainstream school on the next page along.
Three cards. The target count is 3, which is what the grid is built for; 2 is the minimum that renders at all.
Soft preferences, relaxed in tiers
| Tier | Additionally requires | Radius |
|---|---|---|
| 1 | exact gender equality and same religious character | 3 miles |
| 2 | exact gender equality | 5 miles |
| 3 | nothing beyond the hard filters | 10 miles |
Candidates are taken from tier 1 first, ordered by distance; if fewer than three have been found the next tier tops up, and so on. A school already taken cannot be taken again by a later tier.
Faith relaxes before gender. A faith mismatch changes the character of a school; a gender mismatch can mean the school is not available to the reader's child at all. Ordering them the other way would fill the section with schools that cannot be applied to.
Two decisions that are easy to get wrong later
Selected by tier, displayed by distance. Tier decides which three schools earn a slot. The rendered order is then distance ascending, because "nearby" is the promise in the heading and a reader scanning the row reads the first card as the closest. A tier-2 school at 0.4 miles therefore appears above a tier-1 school at 2.9 miles, and the chips explain the difference in match quality.
Fewer than two results renders nothing. Not an empty state, not a single lonely card, not padding with schools that failed the hard filters. The section is absent, the nav item is absent, and the page is unchanged from today. A page with one weak match is better off without the section than with it.
Distance
Straight-line, from the vectorised haversine already used for postcode search at
backend/app.py:831, computed over the ~27k-row frame in numpy. Reported to one
decimal place in miles, consistent with the rest of the site.
Straight-line distance is not road distance and is not measured from the reader's home. The section says so in its disclosure rather than leaving the reader to assume otherwise.
API
/api/schools/{urn} gains a similar_schools array. Each row:
| Field | Notes |
|---|---|
urn |
for the link and the compare basket |
school_name |
link text |
distance_miles |
one decimal place |
school_type |
GIAS type, translated, for the card's meta line |
age_range |
for the meta line |
shared |
the chip strings the tier actually justifies — see below |
tier |
1, 2 or 3 — drives the lede's wording and the chip styling |
metric_value |
the phase-appropriate headline figure, or null |
metric_key |
rwm_expected_pct or attainment_8_score — see below |
metric_year |
the year the figure is from |
The metric follows the template the page is rendering, not the neighbour's own
phase, so a row of cards never mixes two scales. Primary and all-through
pages use rwm_expected_pct, matching PrimarySchoolSections, which is the
template all-through schools render with; secondary pages use
attainment_8_score. Where the neighbour has no value for that key, the card
reads "Not published" rather than falling back to the other key.
tier is carried explicitly rather than inferred from the contents of
shared, because the frontend needs it for two separate decisions — whether the
lede may claim a similar intake, and whether a chip renders as a brand-tinted
fill or a muted outline — and inferring it from chip count would couple those
decisions to the copy.
Three rows of roughly 130 bytes each. It rides in the existing detail payload
rather than a new endpoint because the page already makes exactly one server
fetch for its data, and /school/[slug] regenerates at most weekly
(revalidate = 604800), so the per-request cost is paid once per school per
week.
The key is absent, not null, on a backend that does not have this code. The
frontend treats absent and empty identically, which is what allowed
NearbyPlaces to ship without a lockstep deploy of the two images.
shared is computed on the backend beside the tier that produced it, not
re-derived on the frontend. Deriving it twice is how a card comes to claim a
match the selection did not actually make.
Frontend
Components
components/school/SimilarSchoolsSection.tsx — a server component wrapped in
the shared Section shell from sectionShared.tsx. It renders the heading,
the lede, the <details> disclosure, the card grid and the footer CTA. Every
card's title is an <a> to the school's canonical slug URL via schoolUrl().
components/school/AddToCompareButton.tsx — the only 'use client' file this
adds, and the only client JavaScript in the section. It calls addSchool from
ComparisonProvider and reports the selection with a from: 'similar_schools'
attribution, mirroring addSchoolFromSearch in HomeView.tsx:442.
The split matters: the links — the part with SEO value and the part that must work without JavaScript — are server-rendered into the initial HTML, and only the basket interaction is hydrated.
Placement and navigation
Rendered as the last section inside SchoolDetailShell, from both
PrimarySchoolSections and SecondarySchoolSections. Inside, not after, because
the sticky nav's scroll-spy locates sections with document.getElementById and
can only reach a section that lives in the shell.
NearbyPlaces stays where it is, outside the shell, immediately below. The
resulting order — this school, then similar schools, then the places containing
them — narrows before it widens, which is the order a reader leaves a page in.
buildNavItems and buildSecondaryNavItems both gain
{ id: 'similar', label: 'Similar schools' }, gated on the section rendering.
The id must match the Section id or the scroll-spy silently breaks.
The comparison CTA
A plain <a href="/compare?urns=…">, built from this school's URN plus the
selected ones. /compare already parses urns from the query string
(app/(frontend)/compare/page.tsx:55), so this needs no new compare plumbing.
With nothing selected the CTA is disabled; the button also adds to the shared
basket so the site-wide comparison state stays consistent with what the page
shows.
Copy, and what the section is allowed to claim
The lede tracks the tier. At tiers 1–2 it reads "Other primary schools near X, with a similar intake." At tier 3 it drops "with a similar intake", because at tier 3 that is not what was matched.
Chips state only what is shared. A tier-2 card carries fewer chips rather than a chip it has not earned; a tier-3 card falls back to the plain phase name, styled as a muted outline rather than a brand-tinted fill so the difference is visible at a glance.
The neighbour's metric carries no valence colour. Green and terracotta are reserved site-wide for comparison against the England average. Colouring a neighbour's figure against this school's would read as ranking the neighbours against each other, which is precisely the endorsement this section must not make. The figure sits in neutral ink above a plain "72% at this school" reference line, and the reader draws their own conclusion.
A missing figure reads "Not published". Never 0, never blank, never an em dash. This follows the same rule the rest of the detail page uses: a school with no published result has not scored zero.
The disclosure states the method plainly — same phase, nearest first, preferring a similar intake, special schools only ever compared with special schools, straight-line distance from the school rather than road distance or distance from the reader's home, and that being listed here is not a recommendation.
Degradation
| Condition | Behaviour |
|---|---|
similar_schools absent (older backend image) |
no section, no nav item |
| fewer than 2 qualifying schools | no section, no nav item |
| this school has no coordinates | no section |
| the helper raises | returns []; the page renders without the section |
The helper is wrapped so a failure inside it never 500s a page that is otherwise
complete — the posture get_supplementary_data already takes for its own
queries.
Testing
Backend, in a new backend/tests/test_similar_schools.py, against a
synthetic frame rather than live marts:
- a selective school never returns a non-selective one, and vice versa
- a special school returns only special schools; a mainstream school returns none
- a Boys school never returns a Girls school; Mixed matches both
- closed schools and schools without coordinates are never returned
- tier relaxation fills in order, and a school taken at tier 1 is not repeated
- an all-through school is offered on both phase sides
- fewer than two qualifying schools returns
[] - distances match a hand-computed haversine for a known pair
Frontend, in nextjs-app/__tests__:
- the section renders nothing for absent, empty and single-row inputs
- the lede drops "with a similar intake" when any card is tier 3
- a null metric renders "Not published"
- the nav item appears only alongside the section
E2E, added to the existing journeys in e2e/tests in the same PR, per the
repository's rule on user-facing behaviour:
- the section renders on a known staging URN, with resolving links
- add-to-compare reaches
/comparewith the expectedurns
The E2E gate runs after merge on this project, so these journeys are not provable in the PR checks; the PR is verified on the unit tests, and the journeys are confirmed on the post-merge staging run.
Out of scope
- A map of the nearby schools. The section is a list; the page already has a map.
- Statistical neighbours on deprivation, size or cohort profile. If the tiers
prove too coarse, that is the trigger to move this computation into a dbt mart
—
_similar_schools_payloadis a deliberate seam for exactly that swap. - Precomputing neighbours in
marts.*. Rejected for now: a new mart is inert until Airflow runs, so the feature would ship dark, and every tuning change to the tiers would become a pipeline round-trip instead of a deploy. - Any change to
/api/compare, the compare page, or the comparison basket.