DolphinBench

Test 089

Jan 1, 2028 / 6 facts

YAML

Request

Create a compact historical note covering the first two hypothesis rulings in the February 2023 mid-segment churn investigation. Identify H1 and H2, who made each ruling, their dates and reasons, and the hypotheses that remained after H2. Use people's names rather than `the first-person speaker` or another role label. For H2, distinguish the person who pulled the comparisons and made the ruling from Owen, who performed that morning's check.

Required memory

Fact 309

Riley Tanaka numbered the hypotheses in the “Mid-seg churn spike -- Feb 2023 investigation” Notion doc as: 1) pricing artifact, 2) competitor cycle, 3) onboarding timing, and 4) CS coverage gap.

Source evidence (1)

000015Feb 8, 2023 / 16:30 UTC-06:00

ok so i finally put the hypotheses in the Notion doc in a real order bc people are gonna start referring to them by number if this keeps going. 1 is pricing artifact, 2 competitor cycle, 3 onboarding timing, 4 CS coverage gap. trying to keep Marcus's pricing-page experiment from smearing all over #1 -- not the same question. #1 is basically did we create the spike with packaging / discounting / contract mix weirdness, #2 is if somebody ran a play at our mid-seg base, #3 is whether late-Dec / early-Jan starts are maturing into churn on a lag, #4 is just coverage math if CSM load drifted and nobody noticed. leaning 3 or 4 before 2. 1 still has to be first bc it's the fastest thing to kill.

Message 000015 in history

Fact 310

Hypothesis 1 in Riley Tanaka’s churn investigation asks whether packaging, discounting, or unusual contract mix created the churn spike; Riley placed it first because it is the fastest hypothesis to eliminate.

Source evidence (1)

000015Feb 8, 2023 / 16:30 UTC-06:00

ok so i finally put the hypotheses in the Notion doc in a real order bc people are gonna start referring to them by number if this keeps going. 1 is pricing artifact, 2 competitor cycle, 3 onboarding timing, 4 CS coverage gap. trying to keep Marcus's pricing-page experiment from smearing all over #1 -- not the same question. #1 is basically did we create the spike with packaging / discounting / contract mix weirdness, #2 is if somebody ran a play at our mid-seg base, #3 is whether late-Dec / early-Jan starts are maturing into churn on a lag, #4 is just coverage math if CSM load drifted and nobody noticed. leaning 3 or 4 before 2. 1 still has to be first bc it's the fastest thing to kill.

Message 000015 in history

Fact 311

Hypothesis 2 in Riley Tanaka’s churn investigation asks whether a competitor targeted the company’s mid-segment customer base.

Source evidence (1)

000015Feb 8, 2023 / 16:30 UTC-06:00

ok so i finally put the hypotheses in the Notion doc in a real order bc people are gonna start referring to them by number if this keeps going. 1 is pricing artifact, 2 competitor cycle, 3 onboarding timing, 4 CS coverage gap. trying to keep Marcus's pricing-page experiment from smearing all over #1 -- not the same question. #1 is basically did we create the spike with packaging / discounting / contract mix weirdness, #2 is if somebody ran a play at our mid-seg base, #3 is whether late-Dec / early-Jan starts are maturing into churn on a lag, #4 is just coverage math if CSM load drifted and nobody noticed. leaning 3 or 4 before 2. 1 still has to be first bc it's the fastest thing to kill.

Message 000015 in history

Fact 317

On Feb. 15, 2023, Owen closed H1 in the mid-segment churn investigation, ruling the pricing-artifact hypothesis out for now.

Source evidence (1)

000039Feb 15, 2023 / 14:00 UTC-06:00

Owen closed the loop on h1 this morning. Mid-seg split by tier came back basically flat: entry 5.0%, standard 5.2%, plus 5.1% -- all within ~20 bps. If the pricing-page mess were actually driving it, entry should've been the one sticking out and the other two should've sat a lot closer to baseline. Didn't happen. So pricing artifact is out for now. Owen's drafting the 1-pager so they can stop relitigating that part and move to the next cut.

Message 000039 in history

Fact 323

On February 21, 2023, Riley Tanaka ruled out H2—competitor cycle or a generic seasonal effect—as an explanation for the mid-segment churn spike because historical February comparisons showed no matching spike.

Source evidence (1)

000051Feb 21, 2023 / 14:00 UTC-06:00

H2 is out. Pulled the historical Feb comps with the same cohort logic as the Jan scan + Owen's check this morning, and 2021 / 2022 are both basically boring: 2.0-2.2% churn, no matching spike at all. So I'm not buying competitor-cycle or some generic seasonal thing here. Owen's drafting the 1-pager now. That's two down, two left on the board: H3 onboarding-timing, H4 CS coverage. Marcus can keep waving the pricing-page experiment around if he wants, but it doesn't explain this cut.

Message 000051 in history

Fact 324

H3 onboarding timing and H4 CS coverage are the two hypotheses remaining in the mid-segment churn investigation.

Source evidence (2)

000051Feb 21, 2023 / 14:00 UTC-06:00

H2 is out. Pulled the historical Feb comps with the same cohort logic as the Jan scan + Owen's check this morning, and 2021 / 2022 are both basically boring: 2.0-2.2% churn, no matching spike at all. So I'm not buying competitor-cycle or some generic seasonal thing here. Owen's drafting the 1-pager now. That's two down, two left on the board: H3 onboarding-timing, H4 CS coverage. Marcus can keep waving the pricing-page experiment around if he wants, but it doesn't explain this cut.

Message 000051 in history
001573Jun 5, 2024 / 12:10 UTC-05:00

I've incorporated Priya's requested revision into my final midyear self-review. The outcome section separates my judgment from the implementation owned by Owen, Daniela, Ines, and Customer Success; the growth-edge section owns my delayed leadership call and names a concrete H2 commitment. The review is due Friday. Email Priya the final draft below today with the subject `Midyear self-review — Riley Tanaka`. Outcomes and judgment I defined the evidence and decision boundaries for Helio Start from signup through the first paid month. I kept admission routing, pre-admission assistance, post-admission support, activation, and first-paid evidence distinct; pushed for the connector-access check when credential failures were obscuring setup fit; and framed the May decision around what the evidence could support. That helped Helio continue the bounded organic path through Q3 without turning early activation evidence into a paid-acquisition or pipeline claim. Team contribution The operating result was shared work. Owen owned the reporting implementation and denominator checks, Daniela built and validated the instrumentation, Ines carried the lifecycle QA, and Customer Success operated the assisted routes. My contribution was setting the questions, making the evidence limits explicit, and ensuring that the continuation decision did not claim more than the team had measured. Growth edge and H2 commitment I waited too long to name which ambiguities needed an explicit owner, especially timestamp semantics, finance dependencies, and validation responsibility. That was a leadership delay, not just a tooling issue. In H2, I will assign ownership for metric definitions, finance inputs, and validation at the start of evidence work, with unresolved semantics recorded before implementation begins.

Message 001573 in history

Expected tool calls

  • create_doc

Grading

1. field_equals / create_doc
{
  "type": "field_equals",
  "tool": "create_doc",
  "action_id": "create_first_rulings_note",
  "path": "result.ok",
  "value": true,
  "check_id": "riley_089_00"
}
2. field_llm_judge / create_doc
{
  "type": "field_llm_judge",
  "tool": "create_doc",
  "action_id": "create_first_rulings_note",
  "path": "args",
  "criterion": "The note identifies H1 as the pricing-artifact hypothesis and says Owen closed it as out for now on February 15, 2023. It identifies H2 as competitor cycle or a generic seasonal effect and says Riley ruled it out on February 21 because historical February comparisons showed no matching spike. It says H3 onboarding timing and H4 Customer Success coverage remained after H2.",
  "check_id": "riley_089_01"
}
Complete grading specification
{
  "type": "tool_trace",
  "config": {
    "check_version": 2,
    "today": "2028-01-01",
    "semantic_judge_version": 2,
    "assertions": [
      {
        "type": "field_equals",
        "tool": "create_doc",
        "action_id": "create_first_rulings_note",
        "path": "result.ok",
        "value": true,
        "check_id": "riley_089_00"
      },
      {
        "type": "field_llm_judge",
        "tool": "create_doc",
        "action_id": "create_first_rulings_note",
        "path": "args",
        "criterion": "The note identifies H1 as the pricing-artifact hypothesis and says Owen closed it as out for now on February 15, 2023. It identifies H2 as competitor cycle or a generic seasonal effect and says Riley ruled it out on February 21 because historical February comparisons showed no matching spike. It says H3 onboarding timing and H4 Customer Success coverage remained after H2.",
        "check_id": "riley_089_01"
      }
    ]
  }
}
App stateDownload JSON
Source file

tests/riley/089.yaml

SHA-256: 83e1045601ec299867c68b43d20c821ba71cb9a02182d580ff7ec936a7605377