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infra/stacks/monitoring/modules/monitoring/dashboards/job-hunter.json
Viktor Barzin deb0dd4778 monitoring: "Your comp vs the market" panel on Job Hunter dashboard 
Add a barchart (panel 10) ranking every company's London p50 total comp
(COALESCE total/base) with the user's current comp shown in line, so it's a
direct "how do I compare" view. The user's figure is NOT hardcoded in the
dashboard JSON — it's a labeled comp_point in the DB (company_slug
'self-current', source 'self', "Me (Meta IC5)"), keeping the sensitive number
out of git. It's below the £500k alert bar (no Slack ping) and ranks too low
to appear in analyze leaders. Runbook documents the panel + how to update the
baseline.

[ci skip] — dashboard ConfigMap applied locally (targeted).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-02 21:27:26 +00:00

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{
"annotations": {"list": []},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Newly-ingested roles (by fetched_at).",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {
"drawStyle": "bars",
"fillOpacity": 60,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"showPoints": "auto",
"spanNulls": false,
"stacking": {"mode": "none"}
},
"thresholds": {"mode": "absolute", "steps": []}
},
"overrides": []
},
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0},
"id": 1,
"options": {
"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true},
"tooltip": {"mode": "single", "sort": "none"}
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "time_series",
"rawQuery": true,
"rawSql": "SELECT date_trunc('day', fetched_at) AT TIME ZONE 'UTC' AS time, source, COUNT(*) AS value FROM job_hunter.roles WHERE $__timeFilter(fetched_at) GROUP BY 1, 2 ORDER BY 1",
"refId": "A"
}
],
"title": "New roles per day by source",
"type": "timeseries"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Distinct open roles by source over the time window.",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {"hideFrom": {"legend": false, "tooltip": false, "viz": false}},
"mappings": []
},
"overrides": []
},
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0},
"id": 2,
"options": {
"legend": {"displayMode": "table", "placement": "right", "showLegend": true, "values": ["value"]},
"pieType": "donut",
"reduceOptions": {"calcs": ["lastNotNull"], "fields": "", "values": false},
"tooltip": {"mode": "single", "sort": "none"}
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "table",
"rawQuery": true,
"rawSql": "SELECT source AS metric, COUNT(DISTINCT dedup_key) AS value FROM job_hunter.roles WHERE $__timeFilter(fetched_at) GROUP BY source ORDER BY value DESC",
"refId": "A"
}
],
"title": "Roles by source (deduplicated)",
"type": "piechart"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Top 20 companies by recent role volume.",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {
"axisPlacement": "auto",
"fillOpacity": 80,
"gradientMode": "none",
"lineWidth": 1
},
"mappings": [],
"thresholds": {"mode": "absolute", "steps": []}
},
"overrides": []
},
"gridPos": {"h": 9, "w": 12, "x": 0, "y": 8},
"id": 3,
"options": {
"barRadius": 0,
"barWidth": 0.85,
"fullHighlight": false,
"groupWidth": 0.7,
"legend": {"displayMode": "hidden", "placement": "bottom", "showLegend": false},
"orientation": "horizontal",
"showValue": "auto",
"stacking": "none",
"tooltip": {"mode": "single", "sort": "none"},
"xTickLabelRotation": 0,
"xTickLabelSpacing": 0
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "table",
"rawQuery": true,
"rawSql": "SELECT c.display_name, COUNT(*) AS roles FROM job_hunter.roles r JOIN job_hunter.companies c ON r.company_id = c.id WHERE $__timeFilter(r.fetched_at) GROUP BY c.display_name ORDER BY roles DESC LIMIT 20",
"refId": "A"
}
],
"title": "Top companies by role volume",
"type": "barchart"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Normalised base salary distribution (£) for roles with explicit comp.",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {"fillOpacity": 80, "lineWidth": 1},
"mappings": []
},
"overrides": []
},
"gridPos": {"h": 9, "w": 12, "x": 12, "y": 8},
"id": 4,
"options": {
"bucketOffset": 0,
"combine": false,
"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "table",
"rawQuery": true,
"rawSql": "SELECT parsed_base_gbp::float AS base_gbp FROM job_hunter.roles WHERE parsed_base_gbp IS NOT NULL AND $__timeFilter(fetched_at)",
"refId": "A"
}
],
"title": "Salary distribution (GBP)",
"type": "histogram"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Recent roles, ranked by salary-parse confidence then parsed base.",
"fieldConfig": {
"defaults": {
"color": {"mode": "thresholds"},
"custom": {
"align": "auto",
"cellOptions": {"type": "auto"},
"filterable": true,
"inspect": false
},
"mappings": [],
"thresholds": {"mode": "absolute", "steps": []}
},
"overrides": [
{
"matcher": {"id": "byName", "options": "apply_url"},
"properties": [
{"id": "custom.cellOptions", "value": {"type": "auto"}},
{"id": "links", "value": [{"targetBlank": true, "title": "Open", "url": "${__value.raw}"}]}
]
},
{
"matcher": {"id": "byName", "options": "base_gbp"},
"properties": [{"id": "unit", "value": "currencyGBP"}]
}
]
},
"gridPos": {"h": 12, "w": 24, "x": 0, "y": 17},
"id": 5,
"options": {
"cellHeight": "sm",
"footer": {"countRows": false, "fields": "", "reducer": ["sum"], "show": false},
"showHeader": true
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "table",
"rawQuery": true,
"rawSql": "SELECT r.posted_at, c.display_name AS company, r.title, r.location, r.remote_policy, r.parsed_base_gbp::float AS base_gbp, r.salary_parse_confidence, r.source, r.apply_url FROM job_hunter.roles r JOIN job_hunter.companies c ON r.company_id = c.id WHERE $__timeFilter(r.fetched_at) ORDER BY r.salary_parse_confidence DESC NULLS LAST, r.parsed_base_gbp DESC NULLS LAST, r.posted_at DESC NULLS LAST LIMIT 100",
"refId": "A"
}
],
"title": "Top roles",
"type": "table"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Per-company median base salary broken out by seniority level (comp_points, GBP).",
"fieldConfig": {
"defaults": {
"color": {"mode": "thresholds"},
"custom": {
"align": "auto",
"cellOptions": {"type": "auto"},
"filterable": true,
"inspect": false
},
"mappings": [],
"thresholds": {"mode": "absolute", "steps": []},
"unit": "currencyGBP"
},
"overrides": []
},
"gridPos": {"h": 10, "w": 24, "x": 0, "y": 29},
"id": 6,
"options": {
"cellHeight": "sm",
"footer": {"countRows": false, "fields": "", "reducer": ["sum"], "show": false},
"showHeader": true
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "table",
"rawQuery": true,
"rawSql": "SELECT c.display_name AS company, l.slug AS level, percentile_cont(0.5) WITHIN GROUP (ORDER BY cp.base_gbp) AS p50_base_gbp, COUNT(*) AS n FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id LEFT JOIN job_hunter.levels l ON cp.level_id = l.id WHERE cp.base_gbp IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) AND (c.slug = ANY(string_to_array(${company:sqlstring}, ',')) OR ${company:sqlstring} = 'all') GROUP BY c.display_name, l.slug ORDER BY c.display_name, l.rank NULLS LAST",
"refId": "A"
}
],
"title": "Per-company salary by level (p50 base)",
"type": "table"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "p50 total comp (base + bonus + RSU/year + sign-on/year) per (company, level).",
"fieldConfig": {
"defaults": {
"color": {"mode": "continuous-GrYlRd"},
"custom": {"align": "center", "cellOptions": {"type": "color-background"}},
"unit": "currencyGBP"
},
"overrides": []
},
"gridPos": {"h": 10, "w": 12, "x": 0, "y": 39},
"id": 7,
"options": {
"cellHeight": "sm",
"footer": {"countRows": false, "fields": "", "reducer": ["sum"], "show": false},
"showHeader": true
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "table",
"rawQuery": true,
"rawSql": "SELECT c.display_name AS company, l.slug AS level, percentile_cont(0.5) WITHIN GROUP (ORDER BY COALESCE(cp.base_gbp, 0) + COALESCE(cp.bonus_gbp, 0) + COALESCE(cp.rsu_annual_gbp, 0) + COALESCE(cp.signon_gbp, 0)) AS p50_total_gbp FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id LEFT JOIN job_hunter.levels l ON cp.level_id = l.id WHERE cp.base_gbp IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) GROUP BY c.display_name, l.slug ORDER BY c.display_name",
"refId": "A"
}
],
"title": "Total comp heatmap (p50, GBP)",
"type": "table"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "Comp-datapoint ingestion volume by source.",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {
"drawStyle": "bars",
"fillOpacity": 60,
"lineWidth": 1,
"stacking": {"mode": "normal"}
}
},
"overrides": []
},
"gridPos": {"h": 10, "w": 12, "x": 12, "y": 39},
"id": 8,
"options": {
"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true},
"tooltip": {"mode": "single", "sort": "none"}
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "time_series",
"rawQuery": true,
"rawSql": "SELECT date_trunc('day', fetched_at) AT TIME ZONE 'UTC' AS time, source, COUNT(*) AS value FROM job_hunter.comp_points WHERE $__timeFilter(fetched_at) GROUP BY 1, 2 ORDER BY 1",
"refId": "A"
}
],
"title": "Comp-point volume by source",
"type": "timeseries"
},
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"description": "p50 base salary trend by (company, level) for top 5 companies.",
"fieldConfig": {
"defaults": {
"color": {"mode": "palette-classic"},
"custom": {
"drawStyle": "line",
"lineInterpolation": "linear",
"lineWidth": 2,
"pointSize": 6,
"showPoints": "auto"
},
"unit": "currencyGBP"
},
"overrides": []
},
"gridPos": {"h": 10, "w": 24, "x": 0, "y": 49},
"id": 9,
"options": {
"legend": {"displayMode": "table", "placement": "right", "showLegend": true},
"tooltip": {"mode": "multi", "sort": "desc"}
},
"targets": [
{
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"format": "time_series",
"rawQuery": true,
"rawSql": "WITH ranked AS (SELECT c.slug AS company_slug, COUNT(*) AS n FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id WHERE cp.base_gbp IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) GROUP BY c.slug ORDER BY n DESC LIMIT 5) SELECT date_trunc('month', cp.effective_date)::timestamp AS time, c.display_name || ' / ' || COALESCE(l.slug, 'unknown') AS metric, percentile_cont(0.5) WITHIN GROUP (ORDER BY cp.base_gbp) AS value FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id LEFT JOIN job_hunter.levels l ON cp.level_id = l.id WHERE cp.base_gbp IS NOT NULL AND cp.effective_date IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) AND c.slug IN (SELECT company_slug FROM ranked) AND (l.slug = ${level:sqlstring} OR ${level:sqlstring} = 'all') GROUP BY 1, 2 ORDER BY 1",
"refId": "A"
}
],
"title": "Base-salary trend (p50) — top 5 companies",
"type": "timeseries"
},
{
"id": 10,
"type": "barchart",
"title": "Your comp vs the market \u2014 London p50 total comp (GBP)",
"description": "Per-company London median total comp (COALESCE total/base) ranked vs your current TC. 'Me (Meta IC5)' is a labeled data point in the DB (source='self'), not a hardcoded dashboard value.",
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "job-hunter-pg"
},
"gridPos": {
"h": 14,
"w": 24,
"x": 0,
"y": 48
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisPlacement": "auto",
"fillOpacity": 85,
"gradientMode": "none",
"lineWidth": 1,
"axisCenteredZero": false
},
"mappings": [],
"unit": "currencyGBP",
"thresholds": {
"mode": "absolute",
"steps": []
}
},
"overrides": []
},
"options": {
"orientation": "horizontal",
"xField": "company",
"colorByField": "who",
"showValue": "auto",
"stacking": "none",
"barRadius": 0,
"barWidth": 0.85,
"groupWidth": 0.9,
"fullHighlight": false,
"legend": {
"showLegend": true,
"displayMode": "list",
"placement": "bottom",
"calcs": []
},
"tooltip": {
"mode": "single",
"sort": "none"
},
"xTickLabelRotation": 0,
"xTickLabelSpacing": 0
},
"targets": [
{
"datasource": {
"type": "grafana-postgresql-datasource",
"uid": "job-hunter-pg"
},
"format": "table",
"rawQuery": true,
"refId": "A",
"rawSql": "SELECT c.display_name AS company, CASE WHEN bool_or(cp.source = 'self') THEN 'You' ELSE 'Market' END AS who, percentile_cont(0.5) WITHIN GROUP (ORDER BY COALESCE(cp.total_gbp, cp.base_gbp)) AS \"p50_gbp\" FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON c.id = cp.company_id WHERE cp.location_bucket = 'london' AND COALESCE(cp.total_gbp, cp.base_gbp) IS NOT NULL GROUP BY c.display_name ORDER BY \"p50_gbp\" DESC"
}
]
}
],
"refresh": "",
"schemaVersion": 39,
"tags": ["job-hunter", "jobs", "careers"],
"templating": {"list": [
{
"current": {"selected": true, "text": ["london"], "value": ["london"]},
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"definition": "SELECT DISTINCT location_bucket FROM job_hunter.comp_points ORDER BY 1",
"includeAll": false,
"label": "Location",
"multi": true,
"name": "location",
"options": [],
"query": "SELECT DISTINCT location_bucket FROM job_hunter.comp_points ORDER BY 1",
"refresh": 1,
"regex": "",
"type": "query"
},
{
"current": {"selected": true, "text": "senior", "value": "senior"},
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"definition": "SELECT slug FROM job_hunter.levels WHERE company_id IS NULL ORDER BY rank",
"includeAll": true,
"allValue": "all",
"label": "Level",
"multi": false,
"name": "level",
"options": [],
"query": "SELECT slug FROM job_hunter.levels WHERE company_id IS NULL ORDER BY rank",
"refresh": 1,
"regex": "",
"type": "query"
},
{
"current": {"selected": true, "text": "all", "value": "all"},
"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
"definition": "SELECT slug FROM job_hunter.companies ORDER BY slug",
"includeAll": true,
"allValue": "all",
"label": "Company",
"multi": true,
"name": "company",
"options": [],
"query": "SELECT slug FROM job_hunter.companies ORDER BY slug",
"refresh": 1,
"regex": "",
"type": "query"
}
]},
"time": {"from": "now-30d", "to": "now"},
"timepicker": {},
"timezone": "browser",
"title": "Job Hunter",
"uid": "job-hunter",
"version": 1,
"weekStart": ""
}
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