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Ground-level proof points accumulating

Ground-level proof points accumulating: management narrates several small, named, recent wins and treats them as the lea

Calls Tested
322
Answered YES
8
Hit Rate
2.5%
rare by design

Guess?, Inc. (GES) — this company's answers

NO on the Q1 2017 call 2016-05-25 F
The model's full reasoning — Q1 2017 call → NO我们根据提供的财报电话会议记录,判断管理层的叙述是否包含多个具体、可识别的近期事件,并明确将这些事件视为更广泛改善的早期迹象。 首先,寻找具体事件: 1. 欧洲零售同店销售增长中双位数,几乎所有市场都正增长。 2. 欧洲批发订单簿(秋冬)增长3%。 3. 计划在欧洲开设45家门店,其中10家通过俄罗斯合资企业,并提到莫斯科欧洲商城旗舰店即将开业。 4. 亚洲:韩国、中国大陆、日本同店销售正增长,但大中华区收入低于预期。 5. 在中国开设了7家门店,包括上海、重庆、天津等,并推出首家内衣概念店。 6. 美国加拿大同店销售下降3%,但G by GUESS表现最佳。 7. 电子商务增长11%,连续19个季度增长。 这些事件中,有些是具体事件(如莫斯科旗舰店开业、中国7家门店、内衣店),有些是业绩数据(如欧洲同店增长、订单簿增长)。但管理层是否将这些事件视为更广泛改善的早期迹象?在电话会议中,Victor Herrero说:“我们在欧洲的业务正在蓬勃发展……我们正在按计划开设45家门店……我对国际业务感到兴奋。”他还说:“我们正在做我们需要做的事情,并走在成为更强大公司的正确道路上。”但整体语气更多是应对挑战,而非强调多个具体胜利。管理层提到欧洲的强劲表现,但将其归因于产品改进和整体策略,并未明确说这些是早期迹象。此外,许多事件是计划中的(如开设门店),而非已经发生的。已发生的具体事件包括:莫斯科旗舰店即将开业(但尚未开业?他说“即将开业”),中国7家门店已开,内衣店已开。但这些都是常规扩张,并非特别突出的胜利。管理层没有明确将这些事件串联成一个“早期改善”的叙事,更多是描述现状和计划。 因此,可能不符合“至少三个具体、可识别的近期事件”和“管理层明确将其视为更广泛改善的早期迹象”的条件。回答应为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, does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from inside the business, each one identifiable on its own — AND does management explicitly treat these accumulating episodes as the LEADING EDGE of a broader improvement that is still early? Answer YES when BOTH halves come through in management's own words, in whatever form fits the business: (1) AT LEAST THREE DISTINCT, NAMED OR INDIVIDUALLY IDENTIFIABLE EPISODES FROM THE RECENT PERIOD. Management recounts multiple separate ground-level events that actually happened recently — each described specifically enough that a listener could tell the episodes apart and could later check them. The episodes may take whatever form fits the industry: a particular customer, account, or partner that signed, reordered, expanded, or went live; a particular site, store, plant, line, rig, clinic, or facility that opened, hit a milestone, or reached a new performance level; a particular product, program, or offering that shipped its first units, won its first placements, or crossed a threshold; a particular region, channel, or contract that turned on or stepped up. What matters is the GRANULARITY and RECENCY: these are individually small, freshly occurred, operator-level facts — the kind of detail only people close to the business would narrate — not aggregate results, percentages, themes, or claims like "demand was strong across the board." (2) MANAGEMENT ITSELF CONNECTS THE EPISODES INTO A BUILDING PATTERN THAT IS STILL EARLY. Management explicitly draws the line from these individual episodes to a larger developing trajectory — conveying, in its own voice, that these wins are instances of the same underlying thing, that more of the same kind are already forming or arriving, and that the pattern's contribution to reported results is only beginning, so most of it lies ahead. The generalization must be management's own act, grounded in the recounted episodes — not a hope, a market-size claim, or an analyst's summary. Answer NO if the call's positive story is carried mainly by aggregates — overall growth rates, segment percentages, or general demand commentary — without several individually identifiable recent episodes. NO if fewer than three distinct episodes are described, or the episodes are really one event told from different angles. NO if the episodes are plans, pipeline items, letters of intent, or hoped-for events rather than things that already happened. NO if the episodes are the routine cadence this company always reports (its usual pace of customer additions, standard seasonal openings) and management does not present their accumulation as new or building. NO if management recounts the episodes but never itself connects them into a broader, still-early pattern with more arriving. NO if the episodes chiefly explain problems, or the call is mainly defense of weak results. NO if the pattern-framing appears only in an analyst's question or summary that management does not itself adopt. Use only the supplied transcript. Answer only YES or NO.

Companies that answered YES

TickerCompanyCallDateCall grade
CRGO Freightos Limited Q1 2024 2024-05-20 C+
MBLY Mobileye Global Inc. Q2 2023 2023-07-28 B+
TOST Toast, Inc. Q4 2022 2023-02-16 C+
BXP Boston Properties, Inc. Q1 2022 2022-05-03 A
AU AngloGold Ashanti's Q2 2018 2018-08-20 B
MITK Mitek Systems, Inc. Q4 2017 2017-11-07 C+
TGI Triumph Group, Inc. Q2 2017 2016-11-03 C+
GOGO Gogo Inc. Q1 2016 2016-05-06 C+

How the model reasoned

AU · Q2 2018 → YESThe question is: Does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from insid...YES The transcript shows multiple specific, recent operational episodes: Kibali’s underground ramp-up with automated ore handling system and vertical shaft integration; Iduapriem’s CIL tank conversion and grade/tonnage gains; Sunrise Dam’s Recovery Enhancement Project plus new mining strategies; Tropicana’s second 6-MW ball mill installation; Siguiri’s CIL circuit milestone; and 338 tracked Operational Excellence projects.
BXP · Q1 2022 → YESThe question is: Does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from insid...YES The transcript shows multiple distinct, named episodes from the recent period: the 73,000 sq ft recapture/release at 77 CityPoint with a 15% rent increase and 7.
CRGO · Q1 2024 → YESThe question is: Does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from insid...

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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.