Finding sessions to watch

Most people open session replay with a goal ("why are signups dropping?") but no idea which of thousands of recordings to watch. A raw, unfiltered list is the worst possible answer — it buries the useful sessions in noise. Your job is to turn their intent into a focused filter, return a handful of high-signal recordings, and offer to dig into one.

The starting points below are the same ones the product surfaces as "filter templates" — they encode the jobs people actually use replay for. Treat them as a menu, not a script.

The one rule

Never dump an unfiltered recording list. Always either (a) apply a goal-based filter, or (b) sort by a signal (activity, errors) so the first few rows are worth a click. If the user's goal is unclear, ask one short question or offer the menu before querying.

Available tools

| Tool | Purpose | | ------------------------------------------- | ------------------------------------------------------------------------ | | posthog:query-session-recordings-list | Find/filter recordings (the workhorse). Returns metadata + id per row. | | posthog:read-data-schema | Confirm real event names, URLs, and property values before filtering. | | posthog:execute-sql | Collect $session_ids for sessions where a specific event happened. | | posthog:cohorts-list | Resolve a cohort name → id when scoping to a user segment. | | posthog:session-recording-playlist-create | Save the resulting filter as a saved filter view (type: 'filters'). |

Hand off to the investigating-replay skill once the user picks a recording to understand in depth.

Workflow

1. Pin down the goal

Map the request to one of the starting points below. If it's vague ("show me something interesting"), offer 3-4 options rather than guessing, or default to most active sessions (high signal, no setup).

2. Discover before you filter

Event names and URLs vary per project — never assume $pageview paths, a signup_completed event, or a person property exists. Confirm with read-data-schema (event_properties, event_property_values, entity_property_values) before putting a value in a filter. If the needed event/property doesn't exist, say so and suggest the closest available signal.

3. Run a minimal query

Call query-session-recordings-list with only the filters that serve the goal. Recommended settings:

• set filter_test_accounts: true (the tool defaults to false) to exclude internal users, unless the

user is debugging their own session.

• date_from of -7d to -30d for goal-based searches; -3d for "recent".
• A deliberate order — activity_score for "interesting", console_error_count for "broken",

start_time for "recent".

• limit: 10 — you want a shortlist, not a dump.

4. Triage and present

Don't relay raw rows. Pick the 3-5 most promising and say why each is worth watching (long active duration, many errors, reached the key page, high activity score). Deep-link each as {posthog_base_url}/replay/{id} — never /replay/home?sessionRecordingId={id}. Note total matches so the user knows how much is behind the shortlist.

5. Offer the next step

• "Want me to walk through one?" → investigating-replay.
• "Want to keep watching these?" → save it as a saved filter view with

session-recording-playlist-create (type: 'filters' — a filter view, not a 'collection', which is for manually curated recordings and can't carry filters).

Starting points → filters

Two filter shapes cover almost everything:

• Reached a page → recording metric visited_page ({ "type": "recording", "key": "visited_page",

"operator": "icontains", "value": "/pricing" }).

• Did a specific event (signup, search, rageclick, used a feature) → there is no event-name filter on

the recordings query, so first collect session IDs with execute-sql, then pass them as session_ids (see the two-step pattern below).

| User goal | Approach | | ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Signup / onboarding / pricing / checkout friction | visited_page icontains the relevant path (confirm the real path first). Order start_time, or console_error_count to surface broken ones. | | A specific feature | Two-step: execute-sql for $session_ids where the feature event fired, then session_ids. Pair with visited_page if the feature lives on one page. | | Rageclicks / frustration | Two-step on the $rageclick event → session_ids. | | Errors / something broken | properties: [{ "type": "recording", "key": "console_error_count", "operator": "gt", "value": 0 }], order console_error_count. | | A/B test / feature flag | { "type": "flag", "key": "<flag-key>", "operator": "flag_evaluates_to", "value": "<variant or true>" }. | | A specific person / segment | person_uuid, a person property filter (e.g. email), or a cohort filter (cohorts-list for the id). | | Mobile / responsive issues | { "type": "event", "key": "$device_type", "operator": "exact", "value": ["Mobile"] }, or { "type": "event", "key": "$screen_width", "operator": "lt", "value": 600 }. | | Most active users / "just show me good ones" | No filter; order: "activity_score". The reliable default when the user has no specific goal. | | Most active pages | execute-sql to rank $pageview by URL, then filter recordings by the hottest page's visited_page. |

Two-step pattern: "sessions where event X happened"

The recordings query filters by event _properties_, not event _names_. To find sessions that contain a particular event, collect the session IDs first:

sql
posthog:execute-sql
SELECT $session_id
FROM events
WHERE event = '$rageclick'          -- or your signup/search/feature event (confirm via read-data-schema)
    AND timestamp > now() - INTERVAL 7 DAY
    AND $session_id != ''
GROUP BY $session_id
ORDER BY max(timestamp) DESC         -- recent first: UUIDs aren't time-ordered, so the LIMIT must keep the freshest sessions
LIMIT 100

Then fetch those recordings (some session IDs won't have a recording — that's expected). Pass the same date_from window as the SQL step — with only session_ids, the query falls back to its -3d default and would drop sessions whose event was older than that:

json
posthog:query-session-recordings-list
{ "date_from": "-7d", "session_ids": ["<id1>", "<id2>", "..."] }

Worked example

User: "Why are people bouncing on our pricing page? Show me some sessions."

1. Goal = pricing-page friction → visited_page approach.
2. read-data-schema (event_property_values for $pathname) to confirm the path is /pricing.
3. Query:

json
posthog:query-session-recordings-list
{
  "date_from": "-14d",
  "filter_test_accounts": true,
  "order": "activity_score",
  "limit": 10,
  "properties": [
    { "type": "recording", "key": "visited_page", "operator": "icontains", "value": "/pricing" }
  ]
}

1. Present the 3-5 most active, each as {base}/replay/{id}, noting which lingered or hit errors.
2. Offer to investigate the most promising one (investigating-replay) or save it as a saved filter view (type: 'filters').

Tips

• Prefer one good filter over many — over-filtering returns nothing and reads as "no data".
• If a query returns zero recordings, widen the date range or loosen the filter before concluding there's

nothing to watch; if it's still empty, recordings may not be captured for that flow (point the user to diagnosing-missing-recordings).

• activity_score is a solid default proxy for "worth watching" when there's no sharper signal — but it

rewards raw interaction volume, so prefer a goal-based filter (errors, a key page) when you have one.

• Keep the shortlist short. The value is in choosing _for_ the user, not handing back the haystack.