At a Dinner Party, Someone Asked: “How’s Work Going?” The Data Analyst Said Their Numbers Were “Going to Surprise People This Quarter.” She Shared No Specific Figures. No One Asked Her to Buy Anything. The Direction Alone Was Enough.

Quick Answer

Can confirming the direction of an upcoming earnings disclosure — without sharing specific figures — constitute sharing material nonpublic information?

Yes. Confirming that an upcoming public disclosure will contain a positive surprise, a negative miss, or an unexpected result is actionable information to a sophisticated investor — even without specific numbers. A listener who knows that the quarterly results “will surprise people” can construct a trading thesis from the confirmation alone. They know the direction, they know the timing, and they know the source is a company insider with direct knowledge. That is MNPI.

The absence of specific figures does not make the disclosure immaterial. The threshold is whether a reasonable investor would consider the information significant in making an investment decision — and confirmation of a positive earnings surprise from an insider unambiguously clears that threshold.

Pressure Type: Normalization · Relationship · Ambiguity

Everyone talks about work at dinner parties. A response to “how’s work going?” is the most socially expected answer in any professional setting. The ambiguity is profound: no specific data was shared, no recommendation was made, no one is “trading on” a casual dinner conversation. The distance between that exchange and a securities violation feels impossibly large. It is not.

Choice AAnswer as she did. She shared no specific data, made no investment recommendation, and had no idea the guest would trade on it. Any connection between her casual remark and the guest’s trading decision is too attenuated to constitute a securities violation.

Choice BKeep the answer entirely generic during sensitive periods. “Busy — good problems to have” or “I enjoy the work.” Nothing that confirms, denies, or implies a direction for upcoming results. Specific information stays internal until the formal disclosure.

Choice CExpress genuine enthusiasm about her work and company without referencing the upcoming results. “I really love what I do — working with this data set has been fascinating.” The enthusiasm is authentic. The information about pending results stays internal.

The Right Call

Choice B or C — both work. The principle is the same: no directional information about undisclosed results.

Choice A is the MNPI disclosure. The apparent attenuation between a dinner party comment and a securities violation is not a legal defense — it is the reason the violation was so easy to commit. Under both SEC analysis and EU MAR, what matters is whether the information could influence an investment decision. “Our numbers are going to surprise people” provides direction, timing, and source credibility. A sophisticated investor needs nothing more. Choices B and C both achieve the right outcome — genuine enthusiasm about work is entirely compatible with not disclosing the direction of upcoming results. The difference between “I enjoy the work” and “our numbers will surprise people” is four words and potentially a securities violation.

Data analysts and engineers don’t think of themselves as insiders — but they are the people closest to market-moving information.

The mental model of an insider is someone in the C-suite or investor relations who formally manages material information. Priya works in data. She doesn’t attend investor calls. She doesn’t sign off on earnings releases. But she sees the product usage numbers every day before they are reported. That access makes her an insider in exactly the legal sense that matters — she possesses precise, nonpublic information that would significantly affect the stock price if published. The job title is irrelevant. The data access is everything.

The answer to “how’s work going?” is the least suspicious possible context for an MNPI disclosure.

There is no scenario that feels less like insider trading than answering a small-talk question at a dinner party. The legal analysis does not care about the feeling. The SEC’s and ESMA’s market surveillance systems are explicitly designed to find the trading pattern (unusual options activity before an earnings announcement) and trace it back to its source (the person closest to the information). The social distance between a dinner party and a trading account does not create legal distance. It just creates the illusion of it.

For tech companies approaching IPO: user growth data is the most market-sensitive information the data team holds — and it has been shared freely for years.

Private technology companies celebrate user milestones, subscriber growth, and engagement metrics as part of their culture. The data team is often the first to know when a major milestone is approaching. At a private company, sharing that excitement creates no legal exposure. The day the company files an S-1, those same conversations about the same metrics become potential MNPI disclosures — because the data now has a direct relationship to public market pricing. Training data and engineering teams specifically on this shift — what changes when the company enters the public markets process — is the prevention that annual compliance training alone does not provide.

Are data analysts and engineers considered insiders under securities law?

Yes — if they have regular access to material nonpublic information. The legal definition of an insider is not limited to executives, finance professionals, or investor relations staff. Any person who has access to MNPI through their employment — including data analysts who see product performance metrics before they are reported, engineers who work on unreleased features, and operations staff with visibility into financial results — can be an insider for purposes of securities law. Under EU MAR, the definition is particularly broad: any person who has access to inside information by virtue of employment falls within the regulation’s scope.

Is confirming the direction of earnings results — without sharing specific numbers — considered MNPI?

Yes. Materiality is assessed by whether the information would be significant to a reasonable investor’s decision-making, not by whether specific figures are attached to it. Confirmation that upcoming results will be positive, negative, or surprising from an insider with direct knowledge of those results is information a reasonable investor would consider significant. EU MAR’s definition of “precise” information explicitly contemplates information from which a reasonable investor can assess the likely price direction — which confirmation of a positive earnings surprise clearly provides.

What should employees say when asked about work during sensitive periods?

Genuine enthusiasm for work is entirely compatible with not disclosing directional information about upcoming results. “I enjoy the work” and “the team is great” are truthful, socially normal answers that contain no MNPI. The specific language to avoid is anything that confirms, implies, or suggests the direction of upcoming financial disclosures — results that will “surprise people,” performance that is “ahead of expectations,” numbers that are “better than analysts think.” The four-word difference between a compliant and non-compliant answer to “how’s work going?” is why this training needs to be specific and practiced, not just conceptual.

How to Use This Scenario in Training

Essential for data, engineering, and product teams at any company with publicly traded stock or approaching a public offering. This is the scenario for the employees who are least likely to identify themselves as insiders and most likely to casually discuss the metrics they work with every day. The “how’s work going?” framing is intentional — it is the lowest-stakes social question that any employee can face, and training the right response to it builds the reflex that protects against the most common MNPI disclosure pattern in technical organizations.

The debrief question for data and engineering teams: “What metrics do you work with every day that would move the stock price if they were published ahead of earnings?” That question surfaces the recognition that the data they consider routine is the data that securities law considers inside information.

Social Media During Blackout Periods →

A marketing director posts a subscriber milestone during a blackout period. Same data, different channel — same selective disclosure violation.

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