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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

Vipshop Holdings Limited (VIPS) — this company's answers

NO on the Q4 2023 call 2024-02-28 B
NO on the Q3 2023 call 2023-11-14 C+
NO on the Q2 2023 call 2023-08-18 C+
NO on the Q1 2023 call 2023-05-23 B
NO on the Q1 2017 call 2017-05-16 C
The model's full reasoning — Q3 2023 call → NO我们根据提供的财报电话会议记录,评估两个门控。 门控1:原始信号。我们需要判断是否存在一个积极的、当前的发展,并且问答环节提供了比准备发言更具体的操作细节。 分析:在准备发言中,管理层提到了以下几点:营收增长超预期,服装类GMV增长超16%,超级VIP会员增长17%,占总在线消费45%。他们还提到了一些战略举措,如商品扩展、性价比、无钱包服务等。在问答环节,分析师询问了GMV趋势、双11表现、毛利率、回购、2024年展望、超级VIP会员等。 具体来看,关于GMV和双11,在问答中,Eric Shen(通过翻译)提到,第四季度初表现平淡,因为天气异常,但近期服装类别回升,双11期间GMV增长达到两位数,超过行业平均水平。这比准备发言中提到的“服装GMV增长16%”更具体,但准备发言也提到了增长。问答中补充了天气影响和双11的具体表现。这算不算更具体的操作细节?准备发言没有提到双11,所以问答确实新增了细节。 关于毛利率,准备发言说毛利率增长2个百分点至23.6%,创三年新高,原因是品类组合和商品组合优化。问答中,Jessie说毛利率提升主要由于高毛利品类贡献增加和客户激励节省,而不是提高品牌方费率。还表示没有太多提升空间。这算新增细节吗?准备发言说了“受益于有利的品类组合和优化的商品组合”,问答具体解释了原因,并说明不会提高费率。这算一定程度的具体化。 关于回购,准备发言说累计回报20亿美元,继续执行回购。问答中,Mark Wang详细说明了当前10亿美元回购计划已使用4.48亿美元,剩余5.51亿美元,并说从2021年第二季度起共返回20亿美元。这些数字准备发言没有给出,所以问答提供了具体数字。 关于2024年展望,问答中Jessie说有信心实现稳定可持续增长,但具体细节不多。 关于超级VIP,准备发言说会员增长17%,占在线消费45%。问答中,Jessie说目前有670万活跃超级VIP,占在线消费45%,并保持双位数增长。这是新增的具体数字(670万),准备发言未提及具体数量。 但门控1要求:问答讨论中,管理层的回答是“累加性的”,每次提问都得到新的具体内容。这里,关于GMV和双11,问答中只有一个问题涉及,且回答了一次。关于毛利率,也有一次。关于回购,也一次。关于超级VIP,也一次。所以没有“多个交流”中的累加。门控1说“across MULTIPLE exchanges”,即多个问答交流。这里似乎每个主题只有一次问答。所以可能不满足“多个交流”的条件。但也许可以认为有多个主题,但每个主题只有一次。门控1要求“在问答中,关于这个发展的讨论,管理层的回答是累加性的”,并且“每个探索性问题都得到新的具体细节”。这里可能只有一次提问,所以不算“多个交流”。因此,门控1可能不满足。 另外,门控1还要求“substantive”,即关于实际运营、客户、数量、时间、能力、经济性等。问答中提到的双11GMV增长两位数,天气因素,超级VIP数量,回购金额等,这些算具体。但问题是,是否“produce more concrete operating detail than the prepared remarks” ?准备发言已经提到了服装增长16%,超级VIP增长17%占45%,问答中补充了双11增长两位数,天气影响,超级VIP数量670万,这些确实比准备发言更具体。但关键在于“across multiple exchanges”,这里每个主题只有一次问答,所以可能不满足。 另一种解释:可能整个问答环节有多个问题,但每个问题都不同主题。门控1说的是“对于这个积极发展”,即同一个发展,在多次问答中被深入探讨。这里没有对同一个发展多次追问。所以可能门控1为NO。 门控2:改进过滤器。主要积极发展是什么?管理层强调服装类别和超级VIP增长。这些是公司自身战略和运营的结果,还是外部环境?管理层提到消费环境仍有挑战,但公司表现良好。问答中提到天气影响,但那是短期因素。整体上,服装增长和超级VIP增长是公司通过商品组合、服务优化等实现的,属于内部引擎。但管理层也提到消费环境,但并没有说依赖外部。所以可能符合门控2。 但门控1可能不满足,因为缺乏多次问答累加。 再仔细看:问题中问的是“consider only the provided earnings-call transcript”评价两个门。门控1要求“the question-and-answer discussion PRODUCES MORE CONCRETE OPERATING DETAIL THAN THE PREPARED REMARKS CONTAINED”,并且“across MULTIPLE exchanges”,即多个问答交流中管理层的回答是累加的。这里,实际上有多个问题,比如第一个问题关于GMV趋势和双11,第二个问题关于毛利率和回购,第三个问题关于2024年增长,第四个问题关于回购追加和毛利率水平以及超级VIP数量。所以有多个问答,但每个问答涉及不同的主题。门控1要求关于“that development”即一个特定发展。这里可能有多个发展,但门控1要判断是否存在一个发展,在问答中比准备发言有更多细节。比如超级VIP,准备发言说了增长17%占45%,问答中说了670万数量。这个新增数字算不算更多细节?是的。但问答中只有一个问题涉及超级VIP,没有多次追问。所以可能不满足“across multiple exchanges”哦,实际上问题中“across multiple exchanges”指的是关于这个发展的多个问答交流。这里只有一次。所以门控1为NO。 另外,看问题中“for which the question-and-answer discussi
The model's full reasoning — Q4 2023 call → NOWe need to evaluate both gates based on the transcript. Gate 1: Is there a positive, current development that management presents as going well, and does the Q&A produce more concrete operating detail than the prepared remarks? The prepared remarks mention strong Q4 results, apparel growth, Super VIP growth, etc. In Q&A, analysts ask about customer acquisition, ARPU, return rates, etc. Management provides some specifics: e.g., in Q1, January was good due to cold weather, but after Spring Festival sales ramped slower due to weather. They discuss return rates increasing 3-4 percentage points, reasons. They discuss new customer acquisition channels like Douyin, Tencent, mobile pre-installation, and plans for brand advertising. They discuss ARPU growth drivers. However, is this "more concrete operating detail" than prepared remarks? The prepared remarks already covered many of these points. The Q&A adds some specifics like weather impact, return rate details, but is it substantially more? The question asks if the Q&A produces more concrete operating detail about a positive development. The positive development could be the strong apparel growth or Super VIP growth. But the Q&A doesn't seem to add much new specific substance beyond what was in prepared remarks. For example, prepared remarks said apparel GMV up 29% in Q4, full-year up 24%, Super VIP members up 14% in Q4, etc. In Q&A, they discuss return rates, but that's not a positive development; it's a cost. They discuss customer acquisition plans, but that's forward-looking. They discuss ARPU drivers, but again general. The Q&A seems to repeat or elaborate on generalities rather than providing new concrete operational facts. For instance, when asked about new customer acquisition, management says they will use brand advertising, new channels like XiaoHongShu, BiliBili, but that's plans, not current. They mention that retention of new customers is good, but no numbers. So I think Gate 1 is not satisfied because the Q&A does not produce substantially more concrete detail about a positive current development. The prepared remarks already had the key metrics. The Q&A adds some color but not enough to say "substantially more." Also, the development itself is positive (strong results), but the Q&A doesn't add new specifics about the operations of that development.
The model's full reasoning — Q1 2023 call → NOWe need to evaluate both gates based on the transcript. Gate 1: Is there a positive current development with Q&A adding concrete operating detail beyond prepared remarks? The prepared remarks mention strong Q1, apparel recovery, Super VIP growth, etc. In Q&A, analysts ask about consumption recovery, competition, marketing, user growth, etc. Management provides some specifics: e.g., Super VIP members 6.3 million, 10% increase, 42% of revenue; apparel categories double-digit GMV growth; geographic recovery across tiers; average order size RMB200-300; customer trends. But are these additive? The prepared remarks already mentioned Super VIP growth and apparel recovery. The Q&A adds some numbers (6.3M, 42%) but that's somewhat specific. However, the Q&A mostly repeats themes: competition, marketing spend, long-term growth. The answers are general, not deeply additive with new operational specifics. For example, when asked about consumption recovery, Eric says "very strong recovery" and "pent-up demand" but no new specifics. When asked about marketing, he says it will be manageable, not jumping. The Super VIP number is a concrete detail but appears in one exchange. The rest is general. So Gate 1 likely NO because the Q&A does not produce substantially more concrete operating detail than prepared remarks; it's mostly restatement and generalities. Gate 2: The main positive development is the recovery in apparel-related categories and customer growth. Is that driven by company's own actions or external environment? The transcript attributes it to post-pandemic consumption recovery, pent-up demand, people going out more. That's external. Management says "we do see a very strong recovery after spring festival" and "pent-up demand." So the engine is external environment. Thus Gate 2 NO. Since both gates fail, answer NO.

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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.