Layered contract concept showing information being revealed.

Negotiating the Unknown: How to Get the Best Deals When You Don't Know What's on the Table

"Uncover hidden value and secure better contracts, even when you're missing crucial information."


In complex business environments, it's impossible to foresee every contingency. This limitation often leads to incomplete contracts and missed opportunities. What if you could incentivize experts to reveal hidden aspects of a problem, expanding the possibilities for more effective agreements?

Imagine you're an investor seeking advice from a financial broker. The broker possesses insights into market risks and opportunities you're unaware of. How do you encourage them to share this knowledge so you can create a truly informed investment strategy?

This article explores a fascinating solution: iterated revelation mechanisms (IRMs). IRMs are dynamic interactions designed to incentivize experts to gradually reveal information, leading to more complete and beneficial contracts. Think of it as a structured negotiation where new information unlocks better outcomes.

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Deals Under Information Asymmetry

Striking a strong deal when key facts are unknown is a routine challenge in business, but the scale of its impact is not easy to quantify. Reliable aggregate statistics on how information gaps shape negotiation outcomes are scarce, so the significance of the problem is usually inferred from individual deals and practitioner experience rather than from systematic data. What can be said with confidence is that the risk cuts across industries, from infrastructure delivery to defense procurement. Readers should therefore treat any headline figures with caution and focus on the structural patterns behind them.

Scoped Contracts and Fixed Awards

Standard approaches to contracting under uncertainty lean on tightly defined, delivery-oriented structures. In the energy sector, EPC-style contracts spell out scope explicitly: the Rajkowy PV farm contract for Polenergia S.A., at nearly 35 MWp, encompassed a main power substation (GPO), a 110 kV line, and the full power and telecommunications infrastructure, with the first kilowatt-hours already feeding the grid. Defense procurement similarly relies on large, defined awards, such as EverForth ECS's $148 million U.S. Army contract to support SUNET management and operations. A notable limitation, however, is that contract management is increasingly treated less as a purely legal task and more as a lifecycle discipline spanning Legal, Procurement, Finance, Operations, and Technology.

Compliance as the Bridge to Commercial Value

Historically, contract management has been framed as the link between compliance and the business itself. One example illustrates how the discipline has matured: Atea's contract management unit is described as ensuring the company complies with the requirements of its SKI framework agreements while still exploiting the full commercial potential of those agreements. The associated manager role entails leading an experienced team of nine employees and driving the continued development of the field. That pairing of framework adherence with active commercial exploitation reflects how contract management has evolved from an administrative back-office task into a value-creation function.

What are Iterated Revelation Mechanisms (IRMs)?

Layered contract concept showing information being revealed.

At their core, IRMs are dynamic processes where an expert gradually reveals new information about a problem. With each revelation, the decision-maker (that's you!) proposes a contract. The expert can either accept or reject the proposal. The process continues until either the expert rejects a proposal or no new information is revealed.

Think of it as layers of an onion being peeled back. Each layer reveals something new. Only, in this case, each layer leads to a potentially better deal.

  • Dynamic Interaction: Experts reveal information incrementally.
  • Contract Proposals: Decision-makers propose contracts after each revelation.
  • Accept or Reject: Experts decide whether to accept the proposed contract.
  • Iterative Process: The cycle continues until no new information emerges or a proposal is rejected.
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Thin but Growing Evidence

Published research on negotiating when the terms of the deal are not fully known remains relatively sparse and is often confined to settings that are hard to generalize from. Where studies exist, findings tend to be preliminary and typically caution against drawing broad conclusions from small samples or controlled experiments. Practitioners should therefore weigh such findings as directional signals rather than settled guidance for high-stakes negotiations.

Known Failure Modes

Not every negotiation conducted in the face of uncertainty succeeds, and several failure patterns appear repeatedly in practice. Deals can collapse or underperform when parties overreach, when they fail to identify what is genuinely unknown, or when the process turns adversarial. Because the evidence here is largely anecdotal and deal-specific, these patterns are best read as recurring risks rather than a formal typology of failure.

Context Decides the Method

Comparing negotiation strategies under incomplete information is complicated by the scarcity of directly comparable evidence. Different industries, contract types, and market conditions make it difficult to argue that any single method consistently outperforms others. A more defensible conclusion is that effective approaches depend heavily on context, ranging from tightly scoped delivery contracts to long-running framework agreements.

A critical feature of IRMs is that the decision-maker can only propose contracts they can understand and express at that time. This means the framework adapts as new information comes to light, ensuring practicality and relevance at every stage.

IRMs and The Real World

Iterated Revelation Mechanisms offer a powerful framework for navigating situations where information is unevenly distributed. By understanding the principles of IRMs, you can design negotiation strategies that incentivize transparency, unlock hidden value, and lead to more successful agreements.

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Preparation Over Tactics

Commentary on this topic tends to converge on a practical theme: the outcome of a deal struck under uncertainty depends less on tactical flair than on preparation, clarity of scope, and disciplined contract management after signing. Most commentary, however, derives from practitioner experience rather than systematic review, so it should be treated as informed perspective. The recurring advice is to invest in understanding both what you are agreeing to and what you are not.

Technology-Led Tracking

The frontier of this field is likely to involve data and technology, including digital tools for tracking contract obligations and surfacing hidden risks before they escalate. Emerging practice suggests contract management is becoming a cross-functional, technology-enabled discipline rather than a purely legal activity. Exactly how quickly these tools change negotiation outcomes remains an open question, since reliable longitudinal evidence has yet to accumulate.

Uncertainty in a Wider System

Negotiating the unknown sits within a broader set of systemic pressures, including regulatory complexity, supply-chain risk, and the difficulty of forecasting the value of long-term obligations. These forces put a premium on structures and frameworks that can absorb uncertainty. Broader economic conditions and industry constraints are likely to matter at least as much as any individual negotiator's skill.

People Behind the Paper

Behind every contract is a human chain of negotiators, engineers, lawyers, and managers whose judgment ultimately determines how well a deal holds up in practice. Real-world outcomes are shaped as much by trust and communication as by the written terms. Where direct confirmation is available, it points to a consistent lesson: those who stay curious about what they don't yet know—and keep the people around them aligned—tend to achieve better results.

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: https://doi.org/10.48550/arXiv.2304.05142,

Title: Iterated Revelation: How To Incentive Experts To Complete Incomplete Contracts

Subject: econ.th

Authors: Evan Piermont

Published: 11-04-2023

Everything You Need To Know

1

What are Iterated Revelation Mechanisms (IRMs), and how do they work?

Iterated Revelation Mechanisms (IRMs) are dynamic processes designed to incentivize experts to gradually reveal new information about a problem. The process unfolds as follows: An expert unveils a piece of information, and the decision-maker proposes a contract. The expert then chooses to either accept or reject the proposed contract. The process continues with more information revealed and contracts proposed until the expert rejects a proposal or no new information is revealed. This iterative process, similar to peeling layers off an onion, allows for the discovery of hidden value and the creation of more complete and beneficial agreements. The core components include: dynamic interaction, contract proposals, accept or reject decisions, and an iterative process.

2

How do Iterated Revelation Mechanisms (IRMs) help in complex business environments?

In complex business environments, it's often impossible to have complete information. Iterated Revelation Mechanisms (IRMs) offer a solution by creating a framework that encourages experts to share their knowledge incrementally. This dynamic allows decision-makers to adapt and propose contracts that are relevant to the information available at each stage. By incentivizing transparency through IRMs, you can unlock hidden value, secure better contracts, and ultimately lead to more successful agreements, even when facing incomplete information. This is particularly useful when negotiating contracts with experts who have insights you lack.

3

What are the key characteristics of an Iterated Revelation Mechanism (IRM)?

An Iterated Revelation Mechanism (IRM) is characterized by several key features. First, it involves a dynamic interaction where experts incrementally reveal information. Second, decision-makers propose contracts based on the revealed information. Third, experts have the option to accept or reject these proposed contracts. Fourth, this iterative process continues until either the expert rejects a contract or no new information emerges. A critical aspect is that decision-makers can only propose contracts they can understand and express at the time, ensuring practicality and relevance throughout the process.

4

Can you give an example of how to use Iterated Revelation Mechanisms (IRMs) in a real-world scenario?

Consider an investor consulting a financial broker. The broker possesses knowledge of market risks and opportunities that the investor isn't aware of. Using an Iterated Revelation Mechanism (IRM), the investor could initiate a process where the broker gradually reveals information about various investment aspects, such as potential risks in the market. After each revelation, the investor proposes a contract or investment strategy based on the information. The broker can accept or reject this proposal. If the broker accepts, the investment proceeds; if they reject, the process continues with further information disclosure. This iterative approach, driven by IRMs, enables the investor to create a well-informed investment plan that considers all available knowledge.

5

How does the decision-maker's understanding influence the contract proposals within Iterated Revelation Mechanisms (IRMs)?

Within Iterated Revelation Mechanisms (IRMs), the decision-maker's understanding is crucial. The framework dictates that the decision-maker can only propose contracts they can understand and express based on the information available at each stage. This ensures practicality, relevance, and adaptability. As the expert reveals new information, the decision-maker's understanding of the problem deepens. This allows for the proposal of more informed and tailored contracts. This adaptability is a key advantage of IRMs, as it prevents premature commitments and allows for contracts to evolve with the unveiling of new information.

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