Question Bank › Demand off the charts

Demand off the charts

Calls Tested
3,399
Answered YES
74
Hit Rate
2.2%
rare by design

NVIDIA Corporation (NVDA) — this company's answers

NO on the Q3 2018 call 2017-11-09 B+
The model's full reasoning — Q3 2018 call → NO我们根据转录内容判断公司是否在谈论需求“off the charts”(即需求极高)。转录中多次提到需求强劲,如“robust demand”、“strong adoption”、“ramped significantly”等,但未明确使用“off the charts”这一表述。然而,问题问的是“is the company talking about how demand is off the charts?” 即公司是否在谈论需求极高。转录中确实有类似描述,如“demand is there”、“urgent need”等。但严格来说,没有直接说“off the charts”。不过,从上下文看,公司确实在强调需求强劲。但问题要求只考虑数据,且回答只能“yes”或“no”。我认为公司没有明确说“off the charts”,但表达了需求强劲。可能更倾向于“no”,因为未使用该词。但问题问的是“how demand is off the charts”即是否在谈论需求极高,公司确实在谈论需求强劲。我选择“yes”可能更合适。但为了准确,我检查转录中是否有“off the charts”字样,没有。所以回答“no”。但问题问的是“is the company talking about how demand is off the charts?” 即公司是否在谈论需求极高,而不是是否用了那个词。从内容看,公司确实在说需求强劲。但“off the charts”是夸张说法。我认为公司没有明确说“off the charts”,但表达了类似意思。然而,问题要求只考虑数据,且回答只能“yes”或“no”。我决定回答“no”,因为公司没有明确说“off the charts”。但可能更合理的是“yes”,因为公司说“demand is there”等。我再看问题:“is the company talking about how demand is off the charts?” 意思是“公司是否在谈论需求如何高得离谱?” 转录中公司说“robust demand”、“strong demand”等,但没有说“off the charts”。所以我认为是“no”。但为了保险,我选择“no”。最终回答“no”。

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Show the exact prompt the model was given
is the company talking about how demand is off the charts? and is the numbers support there claim if they claimed that its off the charts? ... only consider the data i give you only take that into consideration ... answer only with yes or no and nothing else

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MVST Microvast Holdings, Inc. Q2 2023 2023-08-07 C+
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IMAX IMAX Corporation Q2 2023 2023-07-26 B+
USAP Universal Stainless & Alloy Products, In Q2 2023 2023-07-26 B
RDNT RadNet, Inc. Q1 2023 2023-05-13 B+
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MCG Membership Collective Group Inc. Q4 2022 2023-03-08 C+
TACT TransAct Technologies Incorporated Q4 2022 2023-03-08 A
TCOM Trip.com Group Limited Q4 2022 2023-03-06 B+
MSI Motorola Solutions, Inc. Q4 2022 2023-02-09 B+
SOUN SoundHound AI, Inc. Q3 2022 2022-11-13 D
ATSAF ATS Automation Tooling Systems Inc. Q2 2023 2022-11-12 C+
BEEM Beam Global Q3 2022 2022-11-10 C+
TT Trane Technologies plc Q3 2022 2022-11-02 A
GTLS Chart Industries, Inc. Q3 2022 2022-10-28 C+
ONON On Holding AG Q2 2022 2022-08-16 A
RMD ResMed Inc. Q4 2022 2022-08-11 C
CRL Charles River Laboratories International Q2 2022 2022-08-03 C
ORGN Origin Materials, Inc. Q2 2022 2022-08-03 F
GRBMF Grupo Bimbo, S.A.B. de C.V. Q2 2022 2022-07-22 B
REXR Rexford Industrial Realty, Inc. Q2 2022 2022-07-21 B
ZIP ZipRecruiter, Inc. Q1 2022 2022-05-11 A
KXSCF Kinaxis Inc. Q1 2022 2022-05-06 B+
SRE Sempra Energy Q1 2022 2022-05-05 B+
WOLF Wolfspeed, Inc. Q3 2022 2022-05-04 A
EQIX Equinix, Inc. Q1 2022 2022-04-27 B+
FAT FAT Brands Inc. Q4 2021 2022-03-21 F
BKFKF P/F Bakkafrost Q4 2021 2022-02-22 C
AMAT Applied Materials, Inc. Q1 2022 2022-02-16 B+
GPI Group 1 Automotive, Inc. Q4 2021 2022-02-10 B+
DGII Digi International Inc. Q1 2022 2022-02-02 C+
CSWC Capital Southwest Q3 2022 2022-02-01 B+
NJDCY Nidec Corporation Q3 2021 2022-01-26 B+
PLBY PLBY Group, Inc. Q3 2021 2021-11-16 F
RCRRF Recruit Holdings Co., Ltd. Q2 2021 2021-11-15 C+
LUNA Luna Innovations Incorporated Q3 2021 2021-11-15 C
AMN AMN Healthcare Services, Inc. Q3 2021 2021-11-07 B+
DIOD Diodes Incorporated Q3 2021 2021-11-03 A
POLY Plantronics, Inc. Q2 2022 2021-10-28 C
AOS A. O. Smith Corporation Q3 2021 2021-10-28 B+
HSY The Hershey Company Q3 2021 2021-10-28 C
SLAB Silicon Laboratories Inc. Q3 2021 2021-10-27 B
ENTG Entegris, Inc. Q3 2021 2021-10-26 C+
THBRF Thunderbird Entertainment Group Inc. Q4 2021 2021-10-20 D
ASAN Asana, Inc. Q2 2022 2021-09-01 B+
STVN Stevanato Group S.p.A. Q2 2021 2021-08-19 B+
ZIM ZIM Integrated Shipping Services Ltd. Q2 2021 2021-08-18 B+
BOXL Boxlight Corporation Q2 2021 2021-08-12 B+
PAG Penske Automotive Group, Inc. Q2 2021 2021-07-28 A
GLW Corning Incorporated Q2 2021 2021-07-27 B+
INTC Intel Corporation Q2 2021 2021-07-22 D
DOV Dover Corporation Q2 2021 2021-07-20 B+
MU Micron Technology, Inc. Q3 2021 2021-06-30 B+
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PRPL Purple Innovation, Inc. Q3 2020 2020-11-11 B
LOGI Logitech International S.A. Q1 2021 2020-07-21 B+
TRP TC Energy Corporation Q1 2019 2019-05-03 C+
POLA Polar Power, Inc.'s Q3 2018 2018-11-13 D
CVGI Commercial Vehicle Group, Inc. Q2 2018 2018-08-12 B
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How the model reasoned

HSY · Q3 2021 → YESThe question is: "is the company talking about how demand is off the charts? and is the numbers support there claim if they claimed that its off the charts? ... only consider the data i give you only ...Yes. The transcript discusses elevated demand, strong growth, and record Halloween performance, with double-digit growth supporting the high-demand narrative. No exact "off the charts" phrasing appears, but the described metrics align with their claims. No. The numbers (e.g., double-digit growth) support the qualitative claims but lack precise 2021 vs. 2020 comparisons in the Q&A. The user asked for a single yes/no, but the compound question requires nuance.
FIVN · Q4 2016 → YESThe question is: "is the company talking about how demand is off the charts? and is the numbers support there claim if they claimed that its off the charts? ... only consider the data i give you only ...Yes. The transcript shows the company describing record enterprise bookings, all-time high pipeline, exceptional bookings growth exceeding headcount increases, and accelerating enterprise subscription revenue (43% LTM growth), which aligns with "off the charts" demand. The numbers support this through consistent record metrics and strong growth rates.
STVN · Q2 2021 → YESThe question is: "is the company talking about how demand is off the charts? and is the numbers support there claim if they claimed that its off the charts? ... only consider the data i give you only ...yes The transcript explicitly states "unprecedented demand" and "demand is very strong" with strong backlog/order intake growth (€739M backlog, €278M Q2 intake), supporting the claim of demand being "off the charts" via positive momentum and capacity investments driven by rising customer demand.

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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.