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Operator fluency on fresh ground

Operator fluency on fresh ground: management answers probing questions about a new driver with unhesitating operational

Calls Tested
499
Answered YES
40
Hit Rate
8%
rare by design

Alibaba Group Holding Limited (BABA) — this company's answers

NO on the Q4 2023 call 2023-05-18 F
The model's full reasoning — Q4 2023 call → NO我们根据提供的财报电话会议记录,分析分析师是否就一个最近出现的积极业务元素进行了追问,而管理层是否以具体、当前的操作细节进行了回应,并表明该元素的贡献仍处于早期阶段。 首先,识别被追问的“最近出现的积极元素”。在问答环节中,分析师的问题涉及: 1. 云业务的价格策略(Alicia Yap提问):关于价格下调策略的结果和客户反馈,以及长期市场份额和盈利能力。 2. 云业务分拆(Alex Yao提问):关于分拆细节和资本管理。 3. 电商业务(Jerry Liu提问):关于淘宝天猫的积极增长和竞争,以及国际电商的投资计划。 其中,云业务的价格策略是最近出现的(管理层在准备发言中提到了“最近,我们推出了一系列新产品和定价政策”),但分析师追问的是价格策略的结果和反馈,管理层回应了“使计算能力更易获取”、“利用规模经济传递红利”等,但并未提供具体的操作细节(如具体客户、定价调整、交易量等)。管理层回答偏向战略和愿景,而非具体运营细节。 关于淘宝天猫的积极增长,Trudy Dai回应了用户和订单增长,但同样没有提供具体操作细节,而是重申战略。 国际电商方面,Jiang Fan回应了投资计划,但也是概括性的。 此外,分析师追问了分拆和资本管理,但管理层表示无法分享具体细节。 因此,没有出现“管理层在至少两次交流中增加具体运营实质内容”的情况。管理层回答多为一般性战略或重复准备发言。 另外,被追问的“积极元素”如云价格策略,虽然新,但管理层未提供具体操作细节。淘宝天猫的增长是长期核心业务,不属于“最近出现”的元素。 因此,答案应为NO。

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Show the exact prompt the model was given
Using ONLY the supplied earnings call transcript and no outside information: On this call, when analysts probe a RECENTLY EMERGED positive element of the business — something whose meaningful contribution began only within roughly the last few quarters — does management respond with UNHESITATING, GRANULAR OPERATIONAL COMMAND: answering follow-up questions about that new element with specific, present-tense working detail (how it is actually being produced, delivered, staffed, scheduled, priced, or scaled; which kinds of counterparties are taking it and how they behave; what the company is doing this month and next to serve it) of the kind only operators deep inside a functioning activity could supply — while conveying that the element's contribution to the reported results is still early? Answer YES when the transcript shows this ONE dynamic, in whatever form fits the business: (1) the probed element is REAL AND CURRENT — actually transacting now, not a plan or pipeline; (2) it is YOUNG — new to meaningful contribution within recent quarters, per management's own framing; (3) management's answers across at least two exchanges ADD specific operational substance beyond the prepared remarks, without deflection, hedging into generalities, or retreat to talking points; and (4) management conveys, directly or plainly in substance, that most of the element's effect lies ahead of the reported numbers. Answer NO if the probed strength concerns the company's long-established core rather than something recently emerged. NO if management's answers repeat prepared points, answer specifics with generalities, or lean on vision and market size. NO if the added detail concerns only financial housekeeping (guidance arithmetic, tax, share count). NO if the element is already mature and substantially in the results. NO if the granular engagement occurs in only a single exchange. NO if the call lacks a substantive question-and-answer session. Use only the supplied transcript. Answer only YES or NO.

Companies that answered YES

TickerCompanyCallDateCall grade
MCD McDonald's Corporation Q2 2024 2024-07-29 D
HCKT The Hackett Group, Inc. Q1 2024 2024-05-08 C
CTRA Coterra Energy Inc. Q1 2024 2024-05-03 A
ROCK Gibraltar Industries, Inc. Q1 2024 2024-05-01 B+
WEC WEC Energy Group, Inc. Q1 2024 2024-05-01 A
LTRX Lantronix, Inc. Q3 2024 2024-04-29 C
NICE NICE Ltd. Q4 2023 2024-02-22 B+
PUMP ProPetro Holding Corp. Q4 2023 2024-02-21 C+
EGP EastGroup Properties, Inc. Q4 2023 2024-02-08 B
SCPH scPharmaceuticals Inc. Q3 2023 2023-11-08 B
FSBC Five Star Bancorp Q3 2023 2023-10-31 B
BRX Brixmor Property Group Inc. Q1 2023 2023-05-02 A
TACT TransAct Technologies Incorporated Q4 2022 2023-03-08 A
WGO Winnebago Industries, Inc. Q1 2023 2022-12-16 D
SIBN SI-BONE, Inc. Q3 2022 2022-11-07 C+
SYY Sysco Corporation Q1 2023 2022-11-01 C+
CHE Chemed Corporation Q3 2022 2022-11-01 B+
SYM Symbotic Inc. Q3 2022 2022-08-01 B+
IRTC iRhythm Technologies, Inc. Q1 2022 2022-05-07 C+
ALHC Alignment Healthcare, Inc. Q3 2021 2021-11-06 B+
FFWM First Foundation Inc. Q3 2021 2021-10-26 B
KNDI Kandi Technologies Group, Inc. Q2 2021 2021-08-09 F
UMH UMH Properties, Inc. Q3 2018 2018-11-02 C+
AGIO Agios Pharmaceuticals, Inc. Q3 2018 2018-11-01 C
AMGN Amgen Inc. Q3 2018 2018-10-30 B+
PRIM Primoris Services Corporation Q2 2018 2018-08-11 C+
IRT Independence Realty Trust, Inc. Q2 2018 2018-08-02 B
KIM Kimco Realty Corporation Q2 2018 2018-07-26 B+
MKC McCormick & Company, Incorporated Q2 2018 2018-06-28 C+
HLX Helix Energy Solutions Group, Inc. Q1 2018 2018-04-24 B+
TOUR Tuniu Corporation Q4 2017 2018-03-14 D
FI Fiserv, Inc. Q4 2017 2018-02-27 C
IR Ingersoll-Rand Plc Q3 2017 2017-10-25 B
GNTX Gentex Corporation Q3 2017 2017-10-20 B
BIIB Biogen Inc. Q2 2017 2017-07-25 B
AEHR Aehr Test Systems Q2 2017 2017-01-05 F
NDSN Nordson Corporation Q3 2016 2016-08-23 A
GOGO Gogo Inc. Q1 2016 2016-05-06 C+
ESE ESCO Technologies Inc. Q2 2016 2016-05-03 A
ENLC EnLink Midstream, LLC Q4 2015 2016-02-17 C+

How the model reasoned

IRT · Q2 2018 → YESThe question is about whether management shows unhesitating, granular operational command on a recently emerged positive element when analysts probe it. YES The transcript shows management providing unhesitating, granular operational detail on the value-add program—a recently emerged positive element whose meaningful contribution began within the last few quarters—as probed by analysts like John Massocca and Craig Kucera. They discuss specifics such as NOI growth from phase 1 rehabs in 4Q 18 (14-15% range), phase 2 as a slight drag, $4.
LTRX · Q3 2024 → YESThe question is about whether management shows unhesitating, granular operational command on a recently emerged positive element when analysts probe it.
NICE · Q4 2023 → YESThe question is about whether management shows unhesitating, granular operational command on a recently emerged positive element when analysts probe it.

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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.