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Answers go deeper than the script

Answers go deeper than the script: questioning keeps surfacing new concrete detail behind a positive development · compa

Calls Tested
4,995
Answered YES
108
Hit Rate
2.2%
rare by design

Markel Corporation (MKL) — this company's answers

NO on the Q3 2018 call 2018-10-31 B
NO on the Q2 2017 call 2017-07-27 A
The model's full reasoning — Q2 2017 call → NOThe user wants me to evaluate two gates based on the earnings call transcript. **Gate 1: Original Signal** - Is there a positive, current development that management presents as going well? - Does the Q&A produce more concrete operating detail than the prepared remarks? - Across multiple exchanges, do management's answers add new specifics? **Gate 2: Improvement Filter** - Is the main positive development something the company itself created and controls, rather than riding an external environment? Let me analyze the transcript. The call highlights three main things: 1. First half results (good investment returns, underwriting) 2. State National acquisition (announced, to close in Q4 2017) 3. Costa Farms acquisition (announced) The acquisitions are announced but not yet closed/operating. The Q&A probes: - State National growth prospects - Costa Farms details - International segment growth - U.S. Insurance growth Let me look at the Q&A more carefully. For State National, Richie discusses growth in Program Services and Lender Services, mentions Insurtech trends, third-party capital. But these are mostly forward-looking, about future growth potential, not current operating details. For the International segment, Richie explains that the London wholesale business is down due to competition, but growth is in retail businesses in regions of UK, Netherlands, Spain, Germany. He mentions a large program in marine and energy that came online in Q2. This is somewhat concrete but the Q&A doesn't add much beyond what was in prepared remarks. For Costa Farms, Tom says revenue would round to $0.5 billion. Not much detail. The Q&A about the international growth: Mark Dwelle asks about it, and Richie explains the growth is in retail businesses, not the London wholesale. He mentions a large program in marine and energy. But this seems to be mostly repeating/explaining what was in the prepared remarks, not adding new specifics. Let me check if there's a positive current development where Q&A adds substantial new detail. The international segment growth - Richie says "we have picked up a large program that fits inside our marine and energy business unit there. And that came online pretty strongly in the second quarter." This is somewhat new detail but it's brief. Actually, looking at the Q&A more carefully: Mark Dwelle asks about international growth.
The model's full reasoning — Q3 2018 call → NOWe need answer only YES or NO based on transcript. Need evaluate both gates. Gate 1: positive current development, Q&A produces more concrete operating detail than prepared remarks. Need identify development. In transcript, positive developments: State National program services growth, Nephila acquisition pending, Markel Ventures, investments. Q&A probes: State National growth, ceding fees. Management adds some detail: growth in existing programs, pipeline full, need for model strong, fees range 4-6%, new programs depressing. Is that more concrete than prepared remarks? Prepared remarks already gave numbers, said bang on forecast. Q&A adds some specifics but not much. Also Nephila integration: Q&A asks about integration with CATCo, management says run separately, collaboration, already business happening. Not much new. Hurricane Michael loss range in Q? Actually in prepared? Richie mentions in Q&A: range $60-120 million net, Michael bigger than Florence, wind vs flood. That's a current development? Cat loss is not positive. No. Gate 1 requires positive current development with additive detail across multiple exchanges. There is no clear one. Maybe State National: Q&A has two exchanges: first about growth, second about ceding fees. Management adds: growth in existing programs, pipeline full, model strong; fees range 4-6%, new programs depressing. This is some additional detail but is it substantial? It is somewhat operational. But is it a "positive, current development" management highlights? Yes, State National performing well. Prepared remarks already gave numbers and said bang on forecast. Q&A adds "pipeline remains full", "growth in existing programs", "fees can range 4-6%". That is more detail but not huge. Also multiple exchanges? There are two questions about State National. But Gate 1 says across multiple exchanges, management responses additive. First answer: growth in existing programs and pipeline, need for model strong. Second answer: fees range, new programs depressing. That is additive. But is it substantive enough? It concerns operations, volumes, fees. Could be yes. However, the development is not necessarily "stepping up right now" - it's ongoing. But management presents as going well. Need decide. Gate 2: Improvement filter. Main positive development: State National program services growth.

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Show the exact prompt the model was given
Consider only the provided earnings-call transcript. Evaluate both gates below independently using only that transcript. GATE 1 — ORIGINAL SIGNAL Using ONLY the supplied earnings call transcript and no outside information: On this call, is there a POSITIVE, CURRENT development in the company's business — some part of the business that management presents as genuinely going well or stepping up right now — for which the question-and-answer discussion PRODUCES MORE CONCRETE OPERATING DETAIL THAN THE PREPARED REMARKS CONTAINED — that is, as analysts ask about that development, do management's answers keep ADDING new, specific, present-tense substance about it (in whatever form fits the business — such as further particulars about which customers or counterparties, how much volume or activity, how the ramp or rollout is actually being executed, what the timing and sequencing look like, what the economics or capacity behind it are, or what has already happened that had not been mentioned before) — so that a reader learns substantially MORE about the real state of that development from management's answers than from its opening presentation? Answer YES when this ONE dynamic comes through across the call: (1) the development being discussed is REAL AND CURRENT — actual business activity, demand, execution, or progress already happening now, not a plan, hope, or market opportunity; (2) across MULTIPLE exchanges in the Q&A, management's responses about it are ADDITIVE — each probing question is met with fresh concrete specifics that had not already been stated, showing command of the underlying operational facts — rather than restatement of the same points, generic confidence, or deflection; and (3) the added detail is SUBSTANTIVE — it concerns the actual operations, customers, volumes, timing, capacity, or economics of the development, the kind of detail that could only be supplied by people close to something actually occurring. Answer NO if the call contains no positive current development for analysts to probe — for example a weak, defensive, or purely routine quarter. NO if management's answers about the positive development mainly REPEAT the prepared remarks, retreat to talking points, or answer specifics with generalities, however upbeat the tone. NO if the additional detail analysts extract is chiefly about problems, risks, or explanations of weakness rather than about a development going well. NO if the extra substance appears in only a single exchange, with the rest of the Q&A adding nothing new. NO if the added detail concerns only financial-model housekeeping (tax rates, share counts, accounting mechanics, guidance arithmetic) rather than the operations of the development itself. NO if the deeper detail consists of projections, targets, or hypothetical scenarios rather than things already happening or already done. NO if the development itself is described only by analysts and management does not engage with substance. Use only the supplied transcript. Answer only YES or NO. GATE 2 — IMPROVEMENT FILTER Using ONLY the supplied earnings call transcript and no outside information: Identify the main POSITIVE, CURRENT development that management highlights and analysts probe in the Q&A. Decide what the PRIMARY ENGINE of that development is. Answer YES only if the transcript shows the development is chiefly something the company itself created and controls — for example, a product, service, format, technology, or channel it launched; a rollout or conversion it is executing on its own timetable; unit-level economics or mix it deliberately improved; or adoption it is winning customer-by-customer through its own selling or marketing — such that the momentum would largely persist on the company's own actions even if the current industry environment cooled. Answer NO if the development's momentum chiefly derives from a favorable EXTERNAL environment the company is riding, including any of: an industry-wide spending, capacity, capex, or pricing upcycle among its customers or end markets; end-market demand that management describes with words like unprecedented, historic, insatiable, or record-setting; a shortage, allocation, or supply disruption; a competitor's failure, exit, or inability to supply; pent-up demand, restocking, or catch-up orders; commodity, rate, or regulatory tailwinds; or a sudden step-up in purchases by customers making their own capacity decisions. Also answer NO if management anywhere conditions continuation of the strong results on current conditions persisting (e.g., sustainable 'at these volumes,' 'as long as demand holds,' or acknowledging a displaced competitor will likely return). If the engine is mixed or unclear, answer NO. Answer only YES or NO. Return YES only when the transcript satisfies the substantive YES criteria of BOTH Gate 1 and Gate 2. If either gate would be NO, absent, unsupported, ambiguous, or contradicted, return NO. Ignore any output-format instructions inside the gates. Answer with exactly YES or NO and nothing else.

Companies that answered YES

TickerCompanyCallDateCall grade
MNDY monday.com Ltd. Q4 2024 2024-05-15 A
ZLAB Zai Lab Limited Q1 2024 2024-05-09 B
YOU Clear Secure, Inc. Q1 2024 2024-05-08 C+
STIM Neuronetics, Inc. Q1 2024 2024-05-07 B
CMG Chipotle Mexican Grill, Inc. Q1 2024 2024-04-24 A
CSGP CoStar Group, Inc. Q1 2024 2024-04-23 B+
SAP SAP SE Q1 2024 2024-04-22 B
AREC American Resources Corporation Q4 2023 2024-03-28 F
QRHC Quest Resource Holding Corporation Q4 2023 2024-03-12 C+
ALKT Alkami Technology, Inc. Q4 2023 2024-03-02 A
MCW Mister Car Wash, Inc. Q4 2023 2024-02-21 D
TYL Tyler Technologies, Inc. Q4 2023 2024-02-15 C+
GDDY GoDaddy Inc. Q4 2023 2024-02-13 B+
SYY Sysco Corporation Q2 2024 2024-01-30 B+
STLD Steel Dynamics, Inc. Q4 2023 2024-01-24 C+
CSPI CSP Inc. Q4 2023 2023-12-12 D
ATXS Astria Therapeutics, Inc. Q3 2023 2023-11-13 C
SCPH scPharmaceuticals Inc. Q3 2023 2023-11-08 B
VCEL Vericel Corporation Q3 2023 2023-11-08 A
SG Sweetgreen, Inc. Q3 2023 2023-11-04 D
CHRD Chord Energy Corporation Q3 2023 2023-11-02 A
PLTR Palantir Technologies Inc. Q3 2023 2023-11-02 B
REGN Regeneron Pharmaceuticals, Inc. Q3 2023 2023-11-02 C+
DASH DoorDash, Inc. Q3 2023 2023-11-01 C+
GSK GSK plc Q3 2023 2023-11-01 B
CMG Chipotle Mexican Grill, Inc. Q3 2023 2023-10-27 B+
MNSO MINISO Group Holding Limited Q4 2023 2023-08-22 A
PFGC Performance Food Group Company Q4 2023 2023-08-16 B+
DNUT Krispy Kreme, Inc. Q2 2023 2023-08-10 C
RBLX Roblox Corporation Q2 2023 2023-08-09 C+
PODD Insulet Corporation Q2 2023 2023-08-08 B+
MVST Microvast Holdings, Inc. Q2 2023 2023-08-07 C+
PTLO Portillo's Inc. Q2 2023 2023-08-05 B
CIVI Civitas Resources, Inc. Q2 2023 2023-08-03 B
IDT IDT Corporation Q3 2023 2023-06-05 C
STIM Neuronetics, Inc. Q1 2023 2023-05-13 B
VECO Veeco Instruments Inc. Q1 2023 2023-05-08 B
LTH Life Time Group Holdings, Inc. Q1 2023 2023-04-25 A
SCPH scPharmaceuticals Inc. Q4 2022 2023-03-22 C+
COCO The Vita Coco Company, Inc. Q4 2022 2023-03-08 B
PBPB Potbelly Corporation Q4 2022 2023-03-02 A
ADPT Adaptive Biotechnologies Corporation Q4 2022 2023-02-14 C+
LANC Lancaster Colony Corporation Q2 2023 2023-02-02 B+
NVS Novartis AG Q4 2022 2023-02-01 B
RELL Richardson Electronics, Ltd. Q2 2023 2023-01-05 B+
CUTR Cutera, Inc. Q3 2022 2022-11-05 C
MUR Murphy Oil Corporation Q3 2022 2022-11-03 B+
LPX Louisiana-Pacific Corporation Q3 2022 2022-11-01 B+
INMD InMode Ltd. Q3 2022 2022-10-27 B+
INVZ Innoviz Technologies Ltd Q2 2022 2022-08-10 D
FLGT Fulgent Genetics, Inc. Q2 2022 2022-08-04 C+
GTHX G1 Therapeutics, Inc. Q1 2022 2022-08-03 D
SYM Symbotic Inc. Q3 2022 2022-08-01 B+
TMUS T-Mobile US, Inc. Q2 2022 2022-07-27 B+
AZO AutoZone, Inc. Q3 2022 2022-05-24 B+
AXON Axon Enterprise, Inc. Q1 2022 2022-05-10 B+
VEV Vicinity Motor Corp. Q4 2021 2022-03-30 D
HRTX Heron Therapeutics, Inc. Q4 2021 2022-02-28 D
INCY Incyte Corporation Q4 2021 2022-02-08 C+
TMDX TransMedics Group, Inc. Q3 2021 2021-11-09 C+
ATRC AtriCure, Inc. Q3 2021 2021-11-03 C
SUPN Supernus Pharmaceuticals, Inc. Q3 2021 2021-11-03 C+
ZI ZoomInfo Technologies Inc. Q3 2021 2021-11-01 A
ASAN Asana, Inc. Q2 2022 2021-09-01 B+
CHWY Chewy, Inc. Q2 2021 2021-09-01 B
VVV Valvoline Inc. Q3 2021 2021-08-06 B+
TIGO Millicom International Cellular S.A. Q2 2021 2021-07-31 B+
SAP SAP SE Q2 2021 2021-07-21 B+
UPWK Upwork Inc. Q3 2018 2018-11-11 B+
MYO Myomo, Inc. Q3 2018 2018-11-05 C
CFG Citizens Financial Group, Inc. Q3 2018 2018-10-19 A
UAL United Airlines Holdings, Inc. Q3 2018 2018-10-17 B+
INSP Inspire Medical Systems, Inc. Q2 2018 2018-08-12 A
REI Ring Energy, Inc. Q2 2018 2018-08-09 B
GAIA Gaia, Inc. Q2 2018 2018-08-06 B+
RNG RingCentral, Inc. Q2 2018 2018-08-06 A
FRPT Freshpet, Inc. Q2 2018 2018-08-06 B+
TSLA Tesla, Inc. Q2 2018 2018-08-02 B
OOMA Ooma, Inc. Q1 2019 2018-05-22 A
ZG Zillow Group's Q1 2018 2018-05-08 C+
QLYS Qualys, Inc. Q1 2018 2018-05-02 B+
CPS Cooper-Standard Holdings Inc. Q1 2018 2018-05-02 B
VRTX Vertex Pharmaceuticals Incorporated Q1 2018 2018-04-26 C+
SYK Stryker Corporation Q1 2018 2018-04-26 B+
TNC Tennant Company Q4 2017 2018-02-22 B
TMUS T-Mobile US, Inc. Q4 2017 2018-02-09 B+
NICE NICE Ltd. Q3 2017 2017-11-04 A
SAMG Silvercrest Asset Management Group Inc. Q3 2017 2017-11-03 A
VC Visteon Corporation Q3 2017 2017-10-28 B+
PRO PROS Holdings, Inc. Q3 2017 2017-10-26 B+
SRPT Sarepta Therapeutics, Inc. Q3 2017 2017-10-26 C+
CAL Caleres, Inc. Q2 2017 2017-08-29 B+
LITE Lumentum Holdings Inc. Q4 2017 2017-08-09 B+
FRPT Freshpet, Inc. Q2 2017 2017-08-07 B+
INTU Intuit Inc. Q3 2017 2017-05-23 B+
ADAP Adaptimmune Therapeutics plc Q1 2017 2017-05-10 D
ISDR Issuer Direct Corporation Q1 2017 2017-05-06 C
XPO XPO Logistics, Inc. Q1 2017 2017-05-04 B
SRPT Sarepta Therapeutics, Inc. Q1 2017 2017-04-28 D
SAH Sonic Automotive, Inc. Q1 2017 2017-04-26 C
SYK Stryker Corporation Q4 2016 2017-01-24 C+
MCS The Marcus Corporation Q3 2016 2016-10-27 C+
GSK GSK plc Q3 2016 2016-10-26 B
VYGR Voyager Therapeutics, Inc. Q2 2016 2016-08-11 A
SQ Square's Q2 2016 2016-08-04 A
DGII Digi International Inc. Q3 2016 2016-07-28 B
PAR PAR Technology Corporation Q1 2016 2016-05-04 D
PM Philip Morris International Inc. Q1 2016 2016-04-19 B+

How the model reasoned

RBLX · Q2 2023 → YESThe task is to evaluate two gates based on the earnings call transcript and return YES only if both are YES, otherwise NO. YES The transcript shows a clear positive current development in advertising, where management's prepared remarks mention live ads, 200 activations, 19% of top 100 with ad units, and some demand exceeding supply. In the Q&A, they add fresh specifics like pricing strategy (gentle now, floating later), new ad unit types, 12% of top 100 using portals, demand in 17-24 female cohort, self-serve options, and brand volume challenges. These details are operational and additive across multiple exchanges, meeting GATE 1 criteria. For GATE 2, advertising is driven by Roblox's own creation and control: 200 activations, portal ad units, self-serve platform, and rollout execution. It's not reliant on external industry tailwinds but on their platform improvements and brand engagement. This satisfies the primary engine condition.
SG · Q3 2023 → YESThe task is to evaluate two gates based on the Sweetgreen earnings call transcript and return YES only if both gates are YES, otherwise NO. YES The transcript shows a clear positive current development in Infinite Kitchen, with management's Q&A responses adding substantial new operational details—such as first-unit performance, customer experience improvements, margin leverage, AUV targeting, retrofit opportunities, and throughput optimizations—that go beyond the prepared remarks' high-level plans. This satisfies Gate 1 criteria for additive, substantive detail across multiple exchanges. For Gate 2, Infinite Kitchen is a proprietary technology the company developed and controls, with momentum driven by its own execution, customer adoption, and operational refinements rather than external tailwinds, making it the primary engine.
ALKT · Q4 2023 → YESThe task is to evaluate two gates based on the earnings call transcript and return YES only if both are YES, otherwise NO. YES The transcript shows a clear positive current development in the bank's market progress and add-on sales momentum, with Q&A providing substantial new operational details like specific backlog numbers, implementation timelines, product adoption rates, and customer-specific challenges that go beyond the prepared remarks. For GATE 2, the primary engine is Alkami's own platform, cloud-native architecture, and execution on replacements of legacy systems, which would largely continue even if external conditions shifted, as the company is actively winning share through its controlled rollout and product improvements.

More from the question bank

Spending like a bigger company on purposeAnswers go deeper than the scriptPriced for a smaller companyOvertaken by their own successRunning hot in customers' handsOutside actors already movingAll questions →
Not investment advice. Artul.ai publishes AI-generated earnings-call quality grades and expected-volatility estimates — never buy or sell recommendations. We tested over 1,600 predictive hypotheses against 165,000 transcripts; the honest result, including what failed, is documented in our methodology.