Question Bank › Winning more per swing than they used to — and t

Winning more per swing than they used to — and the change is recent, real, and still playing out

Calls Tested
482
Answered YES
6
Hit Rate
1.2%
rare by design

DoorDash, Inc. (DASH) — this company's answers

NO on the Q3 2023 call 2023-11-01 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,判断管理层是否传达了公司最近开始以明显高于自身近期过去的速度或规模将机会转化为实际赢得的业务,并且这种改善是基于已经发生的事件,且目前仍在持续。 分析内容: - 管理层提到了强劲的季度表现,所有业务线加速增长,单位经济效益改善。 - 提到了产品改进、新类别扩展、国际业务增长等。 - 但问题核心是“转化率”的自我比较:是否明确对比了当前转化机会(如订单、客户、合同等)与公司自身过去几个季度的转化率,并表明现在转化率更高、更快或更大,且这种改善基于实际已发生的事件,并仍在持续。 在记录中,管理层没有明确提及“转化率”、“赢单率”、“成功率”等概念,也没有对比当前与过去的转化表现。他们谈论的是增长、产品改进、用户行为等,但没有具体说明“机会转化为实际业务”的比率有所提高。虽然提到了“每个业务线加速增长”,但这是结果,不是转化率的对比。也没有提到具体的已赢得订单、合同等事件。 因此,不符合“自我比较显示转化改善”的条件。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, does management convey that the company has RECENTLY BEGUN CONVERTING ITS OPPORTUNITIES INTO ACTUAL WON BUSINESS AT A CLEARLY HIGHER RATE OR SCALE THAN ITS OWN RECENT PAST — that when the company goes after orders, customers, contracts, projects, approvals, placements, or engagements, it is now landing them more often, faster, or bigger than it was landing them several quarters ago — AND does management ground this improvement in real events that already happened while indicating that the same improved conversion is still continuing right now? Answer YES when management's own words convey, in whatever form fits the business, ONE coherent phenomenon with all three parts present: (1) A SELF-COMPARISON SHOWING IMPROVED CONVERSION. Management contrasts how the company is currently converting opportunities into won business against how it converted them before — for example: win rates, success rates, close rates, or hit rates described as visibly higher than the company's own recent norm; a much larger share of pursuits, bids, evaluations, trials, or discussions now ending in the company's favor; wins now arriving at a frequency, pace, or size the company was not achieving several quarters ago; business the company used to lose, miss, or fail to land now being captured; or management plainly saying that its efforts are producing more than the same efforts used to produce. The comparison must be against the company's OWN prior experience — not against competitors, the industry, or last year's market conditions. (2) THE EVIDENCE IS REAL AND ALREADY BANKED. The improved conversion must be demonstrated by things that actually happened in the recent period — actual wins, signings, orders, awards, placements, openings, or customers landed and identifiable in management's account — not by pipeline, interest, proposals outstanding, or management's confidence about future closings. (3) THE IMPROVEMENT IS PRESENTED AS STILL IN FORCE. Management conveys, directly or plainly in substance, that this improved conversion is not a finished episode: further wins of the same kind are continuing to arrive, are in late stages, or are expected from the same drivers already at work — so the recent wins read as the early stretch of a changed trajectory rather than a completed burst, with reasons for the improvement attached to the company itself (its offering, capability, reputation, positioning, or execution) rather than to a one-time external event. Answer NO if management reports strong demand, growth, or good results without contrasting current conversion against the company's own prior rate of converting. NO if the claimed improvement rests on pipeline, quotes, proposals, or hoped-for closings rather than on business actually landed. NO if the improvement is attributed mainly to a one-time event, a single unusual deal, an easy comparison, seasonality, or a temporary condition management expects to fade. NO if management describes the run of wins as concluded, slowing, or unlikely to continue. NO if winning at this rate is simply normal for this company and nothing about its conversion has recently changed. NO if the idea appears only in an analyst's question or characterization that management does not itself affirm. Use only the supplied transcript. Answer only YES or NO.

Companies that answered YES

TickerCompanyCallDateCall grade
NICE NICE Ltd. Q4 2023 2024-02-22 B+
IMAX IMAX Corporation Q2 2023 2023-07-26 B+
GVP GSE Systems, Inc. Q1 2023 2023-05-15 D
FAT FAT Brands Inc. Q4 2021 2022-03-21 F
TENB Tenable Holdings, Inc. Q2 2021 2021-07-27 A
LBTYK Liberty Global's Q1 2016 2016-05-10 C+

How the model reasoned

FAT · Q4 2021 → YESThe question is about whether management conveys that the company has recently begun converting its opportunities into actual won business at a clearly higher rate or scale than its own recent past. ...**YES** Management conveys an improved conversion rate through the statement that new construction and franchise sales are "stronger than we've seen in many years, if not ever," directly contrasting current performance against their own historical experience.
IMAX · Q2 2023 → YESThe question is about whether management conveys that the company has recently begun converting its opportunities into actual won business at a clearly higher rate or scale than its own recent past. ...YES Management explicitly contrasts current signings performance against its own recent past (84 YTD vs. 47 in all of 2022; 46 in Q2 vs. 13 in Q2 2022; 68 new systems vs.
LBTYK · Q1 2016 → YESThe question is about whether management conveys that the company has recently begun converting its opportunities into actual won business at a clearly higher rate or scale than its own recent past. ...**YES** Management conveys exactly this three-part phenomenon. (1) Self-comparison: They repeatedly contrast current conversion against their own recent past.

More from the question bank

This quarter could not have been described lBetting on a customer they cannot yet nameConversion calendar in handSecond wave already orderingGround-level proof points accumulatingInsiders still discovering the upsideAll 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.