feat(admin): graph daily onboarding conversions - #3043
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📝 WalkthroughWalkthroughAdds daily onboarding conversion aggregation for three stage transitions. The admin dashboard renders reusable Chart.js bar charts with nullable percentages, count-aware tooltips, loading states, dark-mode styling, and English translations. Tests cover aggregation, boundaries, chart behavior, and dashboard integration. ChangesOnboarding daily conversions
Estimated code review effort: 3 (Moderate) | ~25 minutes Mergeability Score: 🟡 Moderate · up to The new daily onboarding charts can undercount later-stage conversions on the first day of a selected range when attempts started earlier but reached the source stage within the range, making boundary-day metrics inaccurate. The PR should address or explicitly accept this bounded correctness risk before merging. Sequence Diagram(s)sequenceDiagram
participant frontend_onboarding_dashboard as frontend-onboarding dashboard
participant adminFrontendOnboarding as adminFrontendOnboarding service
participant analytics_model as frontend_onboarding_analytics_model
participant conversion_chart as AdminDailyConversionChart
analytics_model-->>adminFrontendOnboarding: daily_conversions
adminFrontendOnboarding->>frontend_onboarding_dashboard: adapted conversion points
frontend_onboarding_dashboard->>conversion_chart: points, labels, color, loading state
conversion_chart-->>frontend_onboarding_dashboard: rendered daily conversion bars
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Actionable comments posted: 3
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Inline comments:
In `@docs/superpowers/plans/2026-08-13-onboarding-daily-conversions.md`:
- Line 13: Change the “Task 1: Add daily conversion analytics to the existing
backend model” heading from level three to level two, preserving its wording and
surrounding document structure.
- Around line 213-215: The Step 4 PR instructions must require the sections
Summary, Motivation, Business Impact, and Test Plan, with each heading
explicitly marked “(AI generated)”.
In `@supabase/functions/_backend/utils/frontend_onboarding_analytics_model.ts`:
- Around line 310-311: Update the v2 attempt selection used by
details_to_organization and organization_to_setup so it includes attempts from
the preceding 24-hour follow-up interval, allowing pre-range intents to reach a
source stage within the selected range. In buildDailyConversion, filter
candidates by their actual fromMs timestamp against the selected range, and add
a regression case covering an intent before currentStartMs with a source-stage
reach after it.
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ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: 8e2f64db-313a-46a7-a464-10245e1cad08
📒 Files selected for processing (13)
docs/superpowers/plans/2026-08-13-onboarding-daily-conversions.mddocs/superpowers/specs/2026-08-13-onboarding-daily-conversions-design.mdmessages/en.context.jsonmessages/en.jsonsrc/components.d.tssrc/components/admin/AdminDailyConversionChart.vuesrc/components/admin/adminDailyConversionChart.tssrc/pages/admin/dashboard/frontend-onboarding.vuesrc/services/adminFrontendOnboarding.tssupabase/functions/_backend/utils/frontend_onboarding_analytics_model.tstests/admin-daily-conversion-chart.unit.test.tstests/admin-frontend-onboarding-dashboard.unit.test.tstests/frontend-onboarding-analytics-model.unit.test.ts
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1 issue found across 6 files (changes from recent commits).
Confidence score: 4/5
- In
supabase/functions/_backend/utils/frontend_onboarding_analytics_model.ts,currentV2ConversionAttemptsappears to compare against a pre-window ([start-24h, start)) that the HogQL query does not fetch for sub-24h ranges, so 6h/12h and small custom windows can produce incorrect conversion-attempt metrics; align the query window with the comparison logic (or branch logic for short ranges) to avoid undercounted/invalid analytics.
Prompt for AI agents (unresolved issues)
Check if these issues are valid — if so, understand the root cause of each and fix them. If appropriate, use sub-agents to investigate and fix each issue separately.
<file name="supabase/functions/_backend/utils/frontend_onboarding_analytics_model.ts">
<violation number="1" location="supabase/functions/_backend/utils/frontend_onboarding_analytics_model.ts:298">
P2: For ranges shorter than 24h (e.g. the 6h/12h presets or a small custom range), currentV2ConversionAttempts expects v2 attempts with intentMs in [start-24h, start), but the HogQL query only returns attempts with intent in [start-duration, end). Attempts that reached details/organization inside the range with an intent more than `duration` before the range start are therefore never loaded and the daily conversion charts undercount. The model's 24h trailing lookback only works when the selected range is at least 24h, and nothing guards that. Either constrain the analysis to ranges >= 24h, or have the query fetch intent back to start-24h instead of start-duration.</violation>
</file>
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| const previousAttempts = attempts.filter(attempt => attempt.intentMs >= previousStartMs && attempt.intentMs < currentStartMs) | ||
| const currentV1Attempts = currentAttempts.filter(attempt => attempt.onboardingVersion === 1) | ||
| const currentV2Attempts = currentAttempts.filter(attempt => attempt.onboardingVersion === 2) | ||
| const currentV2ConversionAttempts = attempts.filter(attempt => attempt.onboardingVersion === 2 |
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P2: For ranges shorter than 24h (e.g. the 6h/12h presets or a small custom range), currentV2ConversionAttempts expects v2 attempts with intentMs in [start-24h, start), but the HogQL query only returns attempts with intent in [start-duration, end). Attempts that reached details/organization inside the range with an intent more than duration before the range start are therefore never loaded and the daily conversion charts undercount. The model's 24h trailing lookback only works when the selected range is at least 24h, and nothing guards that. Either constrain the analysis to ranges >= 24h, or have the query fetch intent back to start-24h instead of start-duration.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At supabase/functions/_backend/utils/frontend_onboarding_analytics_model.ts, line 298:
<comment>For ranges shorter than 24h (e.g. the 6h/12h presets or a small custom range), currentV2ConversionAttempts expects v2 attempts with intentMs in [start-24h, start), but the HogQL query only returns attempts with intent in [start-duration, end). Attempts that reached details/organization inside the range with an intent more than `duration` before the range start are therefore never loaded and the daily conversion charts undercount. The model's 24h trailing lookback only works when the selected range is at least 24h, and nothing guards that. Either constrain the analysis to ranges >= 24h, or have the query fetch intent back to start-24h instead of start-duration.</comment>
<file context>
@@ -295,6 +295,9 @@ export function buildFrontendOnboardingAnalytics(
const previousAttempts = attempts.filter(attempt => attempt.intentMs >= previousStartMs && attempt.intentMs < currentStartMs)
const currentV1Attempts = currentAttempts.filter(attempt => attempt.onboardingVersion === 1)
const currentV2Attempts = currentAttempts.filter(attempt => attempt.onboardingVersion === 2)
+ const currentV2ConversionAttempts = attempts.filter(attempt => attempt.onboardingVersion === 2
+ && attempt.intentMs >= currentStartMs - FRONTEND_ONBOARDING_FOLLOWUP_MS
+ && attempt.intentMs < currentEndMs)
</file context>
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1 participant
Summary (AI generated)
Motivation (AI generated)
The aggregate funnel shows a large Intent to App details drop, but it cannot reveal whether that conversion changed on specific days. These charts make the timing visible.
Business Impact (AI generated)
Daily stage conversion makes onboarding regressions and improvements easier to correlate with releases, especially the v2 App details changes.
Test Plan (AI generated)
Metric semantics: attribute each attempt to the UTC day it first reaches the source stage; count the same onboarding_attempt_id when it reaches the destination inside the existing inclusive Intent-to-24-hour window; leave days with no source-stage attempts empty.
Summary by CodeRabbit
New Features
Bug Fixes
Tests