44 distinct Pipedrive people have a deal whose stage-change timestamp predates its creation timestamp.

List every distinct Pipedrive people with a deal w...

System: PD

people

System: PD

stage

System: CT

System: PD

person ID

SELECT DISTINCT d.person_id AS user_id FROM pipedrive.deals AS d WHERE d.stage_change_time < d.add_time ORDER BY 1 LIMIT 10000

user_id is taken as the Pipedrive person_id attached to the deal, not a matched external user identity.

How many such deals does each of these people have?

Result is a distinct list of person IDs; the sample shows only the first 12 of 44 rows.

The comparison is strict (stage_change_time < add_time), so deals with equal timestamps are excluded.

```json
{
  "sql": "",
  "explanation": "The schema context lists no columns for the deals or persons tables, so I cannot confidently reference the stage-change timestamp or creation timestamp fields without inventing column names.",
  "confidence": "uncertain",
  "warnings": ["No column inventory p

List every distinct Pipedrive people with a deal whose stage-change timestamp predates its creation timestamp. Return only user_id, in ascending order; use the person ID for a Pipedrive-only person.

Reads the pipedrive.deals table (aliased d).

Keeps only rows where stage_change_time is earlier than add_time.

Returns the distinct person_id values, labeled user_id.

Sorts by user_id ascending and caps output at 10,000 rows.

Summary: From the pipedrive.deals table, find each distinct person whose deal's stage-change time is earlier than its creation time, and return those person IDs sorted ascending.


Independent synthetic fixture values, complete membership and required field types; not production or human usefulness.

22 distinct Pipedrive people (or users) have an activity with a duration but no due time.

Generation confidence; semantic correctness is only verified by the listed checks.

No complete question-to-answer semantic oracle was run.

SQL checks do not prove the whole question interpretation.

Keep the Pipedrive people with an activity that ha...

System: PD

people

System: PD

activity

System: PD

duration

System: PD

due time

Onboarding/client dimension keyed by user_id (= accounts.id). Declared (not traded) currencies live here.

Direct user_id; one row per user_id already. Project user_id first.

System: CT

client

Metric match

No predefined metrics are configured for this connection — scored on time clarity, query complexity and column visibility instead

High confidence (85%) — clear time period, moderate complexity

SELECT COUNT(DISTINCT COALESCE(CAST(a.user_id AS TEXT), CAST(pe.id AS TEXT))) AS client_count FROM pipedrive.activities AS a JOIN pipedrive.persons_enriched AS pe ON pe.id = a.person_id WHERE NOT a.duration IS NULL AND a.due_time IS NULL

client_count counts distinct COALESCE(user_id, person id) values, not distinct persons alone

Activities qualify by having a non-null duration and a null due time; no other activity filters applied

List the 22 people behind this count with their activity counts and durations

How many of these activities are overdue or lack a scheduled follow-up by type?

The count is of COALESCE(user_id, person id), so identities may mix Pipedrive users and enriched persons depending on which is populated.

One row, single value — no breakdown by person, activity type or period is available from this result.

Keep the Pipedrive people with an activity that has a duration but no due time membership from the third result and count those distinct IDs as client_count. An empty result counts as zero.

Join pipedrive.activities to pipedrive.persons_enriched by matching persons_enriched's id to the activity's person_id, keeping only activities attached to a known person.

Keep only rows where the activity's duration is not null (a duration exists).

Also require the activity's due_time to be null (no due time is set).

Count distinct values of the activity's user_id as text, or the person's id as text when user_id is missing.

Summary: Count distinct identifiers from activities joined to enriched people, where each activity has a duration set but no due time, and report zero if nothing matches.


Generation confidence is not an answer certificate.

The entire question interpretation has not been independently verified.

System: PD

people

System: PD

stage

System: CT

client

Semantic: The query could not preserve the requested meaning or scope. Try the query again in a few moments

```json
{
  "sql": "",
  "explanation": "The request requires a deal stage-change timestamp, but no stage-change/audit history exists in the schema and no Pipedrive deal columns are available to verify such a field.",
  "confidence": "uncertain",
  "warnings": [
    "Curated knowledge explicitly sta

```json
{
  "sql": "",
  "explanation": "The requested cohort (Pipedrive people whose deal stage-change timestamp predates deal creation) is defined entirely by Pipedrive deal/stage-history data, which does not exist on this CT-production connection (no public.deals or pipedrive tables), so no SELEC

For exactly the Pipedrive people with a deal whose stage-change timestamp predates its creation timestamp in the first checked result, return their distinct count as client_count. Keep that membership and return zero if it is empty.

The query failed to run. This could be due to a database issue or invalid data in your query.


System: PD

people

System: PD

stage

System: CT

```json
{
  "sql": "",
  "explanation": "I cannot generate this query: no table columns are provided in the schema, and the question references 'the same checked IDs from the first result', which is not available to me — I don't know which user_id set or which columns encode stage-change vs creation

Show the same checked IDs for the Pipedrive people with a deal whose stage-change timestamp predates its creation timestamp from the first result, this time in descending user_id order. Keep every member and show only user_id.


System: PD

people

System: PD

stage

System: CT

client

```json
{
  "sql": "",
  "explanation": "The requested cohort (Pipedrive people with a deal whose stage-change timestamp predates its creation timestamp) is defined entirely by Pipedrive deal/person fields, and this connection has no Pipedrive tables and no CT-side filter or measure that can reprodu

```json
{
  "sql": "",
  "explanation": "The request references membership from a 'third result' of a prior pipeline and a stage-change timestamp column that is not present in the provided schema, so a faithful query cannot be constructed.",
  "confidence": "uncertain",
  "warnings": [
    "No colum

Keep the Pipedrive people with a deal whose stage-change timestamp predates its creation timestamp membership from the third result and count those distinct IDs as client_count. An empty result counts as zero.


System: PD

people

System: PD

organization

System: CT

client-type

System: CT

System: PD

person ID

Schema: The query refers to a table or column that is unavailable on the selected connection. Rephrase to only request data you have access to

SELECT DISTINCT COALESCE(CAST(pe.ct_id AS TEXT), CAST(pe.id AS TEXT)) AS user_id FROM pipedrive.persons_enriched AS pe JOIN pipedrive.organizations AS o ON o.id = pe.org_id WHERE (ARRAY_LENGTH(STRING_TO_ARRAY(o.cf_client_type_tags, ','), 1) > 1) ORDER BY 1 LIMIT 10000

SELECT DISTINCT
  COALESCE(CAST(pe.ct_id AS TEXT), CAST(pe.id AS TEXT)) AS user_id
FROM pipedrive.persons_enriched AS pe
JOIN pipedrive.organizations AS o
  ON o.id = pe.org_id
WHERE
  (
    ARRAY_LENGTH(STRING_TO_ARRAY(o.cf_client_type_tags, ','), 1) > 1
  )
ORDER BY
  1
LIMIT 10000

```json
{
  "sql": "",
  "explanation": "The schema context lists table names (persons, persons_enriched, organizations) but no columns, and no curated fact defines where a 'client-type tag' lives, so I cannot generate a trustworthy query.",
  "confidence": "uncertain",
  "warnings": [
    "Need the

List every distinct Pipedrive people at an organization with more than one client-type tag. Return only user_id, in ascending order; use the person ID for a Pipedrive-only person.

The generated query referenced a column or table that doesn't exist. Retry to regenerate it, or rephrase the question.


System: PD

people

System: PD

organization

System: CT

client-type

System: CT

client

churn-tier-definitions declared-currency-intent activation-definition-gold client-type-sti-classes trade-existence-gold-booked

```json
{
  "sql": "",
  "explanation": "The request cannot be translated: the provided schema lists no columns for any table, and 'more than one client-type tag' / 'first checked result' reference structures and columns (e.g. client-type tags on organizations or persons) that are not defined anywhe

For exactly the Pipedrive people at an organization with more than one client-type tag in the first checked result, return their distinct count as client_count. Keep that membership and return zero if it is empty.


System: PD

people

System: PD

organization

System: CT

client-type

System: CT

```json
{
  "sql": "",
  "explanation": "The schema context provides no column definitions for the tables, and the request depends on a prior result ('first result', 'checked IDs') and a 'client-type tag' notion that has no corresponding column in the provided schema, so a correct query cannot be co

Show the same checked IDs for the Pipedrive people at an organization with more than one client-type tag from the first result, this time in descending user_id order. Keep every member and show only user_id.


System: PD

people

System: PD

organization

System: CT

client-type

System: CT

client

```json
{
  "sql": "",
  "explanation": "I cannot generate this query: 'client-type tag membership' and 'the third result' are not available or defined in the provided schema (tables list no columns), and no prior result set exists to reference.",
  "confidence": "uncertain",
  "warnings": [
    "No

Keep the Pipedrive people at an organization with more than one client-type tag membership from the third result and count those distinct IDs as client_count. An empty result counts as zero.