Lens Dashboard

python3 -m lens_agent.uiux search --domain chart --query "{data_type}" --limit 3

-- Weekly Active Users
-- Definition: distinct users who performed at least one core action
-- (create, edit, share) in the last 7 days
-- "Core action" excludes logins and passive views
WITH current_period AS (
    SELECT COUNT(DISTINCT user_id) AS value
    FROM events
    WHERE event_type IN ('create', 'edit', 'share')
      AND created_at >= NOW() - INTERVAL '7 days'
),
prior_period AS (
    SELECT COUNT(DISTINCT user_id) AS value
    FROM events
    WHERE event_type IN ('create', 'edit', 'share')
      AND created_at >= NOW() - INTERVAL '14 days'
      AND created_at <  NOW() - INTERVAL '7 days'
)
SELECT
    c.value                                              AS current_wau,
    p.value                                              AS prior_wau,
    c.value - p.value                                    AS change,
    ROUND(
        (c.value - p.value)::numeric / NULLIF(p.value, 0) * 100,
    1)                                                   AS pct_change
FROM current_period c, prior_period p;

-- Activation Funnel
-- Steps: signed_up → completed_onboarding → created_first_project → invited_teammate
-- Window: users who signed up in the last 30 days
WITH cohort AS (
    SELECT user_id, MIN(created_at) AS signed_up_at
    FROM users
    WHERE created_at >= NOW() - INTERVAL '30 days'
    GROUP BY 1
),
steps AS (
    SELECT
        c.user_id,
        c.signed_up_at,
        MAX(CASE WHEN e.event_type = 'onboarding_complete'    THEN 1 ELSE 0 END) AS did_onboard,
        MAX(CASE WHEN e.event_type = 'project_created'        THEN 1 ELSE 0 END) AS did_create,
        MAX(CASE WHEN e.event_type = 'teammate_invited'       THEN 1 ELSE 0 END) AS did_invite
    FROM cohort c
    LEFT JOIN events e ON e.user_id = c.user_id
        AND e.created_at >= c.signed_up_at
    GROUP BY 1, 2
)
SELECT
    COUNT(*)                              AS signed_up,
    SUM(did_onboard)                      AS completed_onboarding,
    SUM(did_create)                       AS created_project,
    SUM(did_invite)                       AS invited_teammate,
    ROUND(AVG(did_onboard) * 100, 1)      AS onboard_rate_pct,
    ROUND(AVG(did_create)  * 100, 1)      AS create_rate_pct,
    ROUND(AVG(did_invite)  * 100, 1)      AS invite_rate_pct
FROM steps;

┌─ Dashboard: [Name] ────────────────────────────────────┐
│  Audience: [who]     Refresh: [cadence]     Tool: [BI] │
│  Decision: [what decision this dashboard supports]      │
└────────────────────────────────────────────────────────┘

PANELS (5 max)
──────────────────────────────────────────────────────────
  1. [Question title]
     Type: [chart type] | Source: [table] | Refresh: [cadence]
     Metric: [precise definition]
     Good: [threshold] | Bad: [threshold] | Compare: vs [period]

  2. [Question title]
     ...

FILES CREATED
  [path to SQL queries]
  [path to dashboard config / implementation]

NEXT STEPS
  [ ] Connect to [data source] at [connection string / env var]
  [ ] Set refresh schedule: [cron or BI tool setting]
  [ ] Share with [audience] — confirm the "so what?" lands
  [ ] Iterate: kill any chart nobody acts on after 2 weeks