Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting / useful recordings, says they don't know where to start in session replay, or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks, errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focu...
Scanned 9/1/2026
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---
name: finding-sessions-to-watch
description: >
Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal
list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants
help finding interesting / useful recordings, says they don't know where to start in session replay,
or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks,
errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused
RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to
`investigating-replay`. Do NOT use when the user already has a recording/session ID (use
investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).
---
# 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 `$session_id`s for sessions where a specific **event** happened. |
| `posthog:cohorts-list` | Resolve a cohort name → id when scoping to a user segment. |
| `posthog:session-recording-playlist-create` | Save the resulting filter as a saved filter view (`type: 'filters'`). |
Hand off to the **`investigating-replay`** skill once the user picks a recording to understand in depth.
## Workflow
### 1. Pin down the goal
Map the request to one of the starting points below. If it's vague ("show me something interesting"),
offer 3-4 options rather than guessing, or default to **most active sessions** (high signal, no setup).
### 2. Discover before you filter
Event names and URLs vary per project — never assume `$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 `$session_id`s where the feature event fired, then `session_ids`. Pair with `visited_page` if the feature lives on one page. |
| **Rageclicks / frustration** | Two-step on the `$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" }
]
}
```
4. Present the 3-5 most active, each as `{base}/replay/{id}`, noting which lingered or hit errors.
5. 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.
## Related skills
- **`investigating-replay`** — analyze one of the shortlisted sessions in depth
- **`diagnosing-missing-recordings`** — when queries keep coming back empty and capture itself is in doubt
- **`creating-replay-vision-scanners`** — turn a recurring shortlist into a scheduled Replay Vision scanner
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