How to Keep the “Endowment Effect” from Stopping Innovation and Efficiency at Work
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The Endowment Effect is a powerful cognitive bias that profoundly impacts internal business productivity. It’s The Endowment Effect is a powerful cognitive bias that profoundly impacts internal business productivity. It’s an inherent part of how our brains work, causing employees to overvalue items, projects, or processes they own, possess, or helped create. This leads to procrastination, a refusal to let go, and crippling resistance to necessary changes, often paralyzing project completion.
The good news is that the Endowment Effect can be mitigated. The key is to de-couple emotional ownership from professional decision-making. This is challenging, especially in large organizations, but it has been successfully achieved in some of the world’s biggest companies.
Google, Amazon, and General Electric all recognize the impact of this bias and have developed strategies and processes for removing emotional ownership from the equation, modifying their workflow to reduce emotional clinging and the resulting resistance to change.
Consider the length these organizational giants have gone to, to kill the Endowment Effect:
Case Study 1 – Google’s Tollgate and Kill Switch Systems
Google, and many other large tech firms, face the Endowment Effect on a massive scale as engineers and product managers become deeply attached to their ideas and projects. They addressed this by formalizing the process of review and termination.
Process Modifications
Google implemented a rigorous Tollgate or Gate Review system for all new projects. Mandatory checkpoints (gates)—staffed by a committee of senior leaders and cross-functional experts with no prior involvement in the project—must approve its movement to the next phase (e.g., from prototype to beta, or beta to launch).
Crucially, they established a Kill Switch culture, making it acceptable and even celebrated to terminate a project that fails to meet objective metrics at the gate.
Effect on Productivity and Efficiency
- Reduced Overvaluation: Impartial reviewers counteract the team’s natural overvaluation of their work (the Endowment Effect) with objective, data-driven assessment.
- Faster Failure/Pivot: The clear process for termination incentivizes teams to fail fast or pivot early, freeing up talented engineers and capital for more promising ventures. This significantly boosts resource efficiency and innovation speed.
Case Study 2 – General Electric (GE): The Work-Out and Change Acceleration Process (CAP)
When GE undertook massive structural changes in the 1980s and ’90s, they needed to overcome organizational-wide resistance triggered by the Endowment Effect—employees clinging to legacy processes they felt “owned.” They implemented the Work-Out and the Change Acceleration Process (CAP).
Process Modifications
GE introduced the Work-Out process, a structured forum where employees from all levels met with a manager to openly identify problems with current processes and propose solutions, with the manager committing to an on-the-spot decision. This directly attacked the overvaluation of existing plans.
CAP, in turn, focused on using pilot programs and clear, visible early wins to demonstrate the value of the new way before asking people to fully abandon the old way.
Effect on Efficiency and Profitability
- Transferred Ownership: By empowering employees to critique and redesign the old systems, GE transferred the sense of psychological ownership from the old process to the new solution. This greatly reduced resistance to change, improving profitability by embracing new, better ways of doing things.
- Faster Implementation: The transparent, rapid decision-making in the Work-Out process, combined with a focus on quick, demonstrable improvements (early wins in CAP), accelerated the implementation of new processes, leading to significant efficiency gains and cost reductions.
Case Study 3 – Amazon’s Narrative Memo and Two-Pizza Team Structure
Amazon combatted the Endowment Effect through communication structure and team size, ensuring no single individual or small team could exert undue, emotionally-driven control over a project’s future.
Process Modifications
Amazon put in place a few mechanisms to kill the Endowment Effect before it could start, beginning with the Narrative Memo. Instead of easily swayed PowerPoint presentations, all project proposals require a six-page Narrative Memo. This forced the project owner to logically articulate the proposal, target customer, projected outcomes, and, most importantly, the exit criteria for the project, making termination criteria a fundamental part of the plan before ownership bias sets in. This worked because it:
- Eliminated Presentation Bias – Traditional presentations feed bias through emotional appeal, lack of permanence, and owner dominance. Amazon’s silent reading of the memo focused on logic and distance.
- Forced Objective Rigor – Writing a long-form memo forced the owner to fully articulate thoughts and assumptions in complete sentences and paragraphs, requiring System 2 Thinking (slow, logical, analytical). This exposed hidden flaws and contradictions that emotional conviction might otherwise mask.
- Set a Clear Exit Criteria – Defining success and failure (the kill switch) metrics in writing at the outset de-coupled emotional investment from the project’s fate. Hitting a pre-defined failure metric months later was an execution of a pre-agreed contract, not a personal rejection.
- Enabled Impartial, Deliberate Review – Amazon meetings would begin with a silent 20-30 minute reading period for the memo. Reviewers—who were not endowed with ownership—could read critically and formulated objective questions based on the document’s logic, without the social pressure or distraction of a dynamic presentation.
The Two-Pizza Team concept – every project was assigned to a team no bigger than one that could be fed by two pizzas (roughly 6-8 people) also ensured ownership was distributed and projects were manageable. The small team size meant accountability was clear, and the barrier to moving on or repurposing team members was lower, supporting agility. This rationale made sense. When a small team has worked on a small project, the cost of terminating it is low. If hundreds of people have worked for years on a massive project, the emotional and career stakes are high, leading to fierce, irrational clinging. Keeping teams small reduces this pressure.
Two-Pizza Teams are empowered to iterate quickly and pivot without complex, multi-layered approvals. This made change (a pivot or termination) a simple internal decision for a small group, rather than a bureaucratic fight across the organization.
Effect on Productivity/Efficiency – This had several effects. One focused on clarity and objectivity to detach the project from the sway of any individual, which improved profitability by allowing only truly worthy projects to be implemented in the first place. It also resulted in a nimbler process.
All three companies implemented solutions that share the common thread of introducing structural mechanisms to de-personalize the evaluation process and remove the cognitive biases employees would otherwise bring to the table. By shifting the focus from the creator’s emotional attachment to the project’s objective metrics, these mega-corporations have successfully killed the power of the Endowment Effect.
Strategies to Try
What might your team or business do to eliminate this powerful bias? To prevent employees from overvaluing their own ideas and legacy processes, here are some additional strategies or tips to try which have been or are still being used at other companies.
1. The “Pre-Mortem” Assessment
While most companies conduct “post-mortems” to analyze why a project failed, the Pre-Mortem is designed to mitigate the Endowment Effect before a project even fully launches. By forcing the team to imagine a future where the project has already failed, you break the cognitive link between their effort and the inevitable “success” they imagine.
To implement this, before finalizing a plan, gather the team and have them assume the project has failed spectacularly. Each member must write down reasons why it failed. This legitimizes doubt and allows team members to voice concerns without appearing unsupportive or “negative.”
Atlassian, the software giant includes the Pre-Mortem as a standard “play” in their Team Playbook. By normalizing the discussion of failure, they decouple the team’s ego from the plan, allowing for objective flaws to be spotted early. The Pre-Mortem works because it forces “prospective hindsight.” When a person looks back from a hypothetical failure, they can detach from the ownership of the “perfect plan” and view it as a flawed object that needs fixing.
2. Zero-Based Budgeting (ZBB)
The Endowment Effect often manifests in budgeting: department heads believe they “own” their budget from the previous year and fight to keep it, regardless of current utility. ZBB forces a reset. It removes the status quo bias. Managers cannot cling to a project or resource simply because “we’ve always had it.” They must proactively prove each project or strategy’s value anew, stripping away the emotional attachment to past allocations.
To put this into effect, instead of taking the previous year’s budget and adding/subtracting a percentage, every budget starts at zero. Managers must justify every single dollar of expense for the new period as if the department were being built from scratch.
Kraft Heinz (via 3G Capital) and Unilever have famously used ZBB to prevent “legacy bloat.”
3. The “Braintrust” Feedback Model
One of the hardest parts of the Endowment Effect is that creators view critique of their work as a critique of themselves. To solve this, a feedback mechanism is needed that is specifically designed to attack the project, not the person. One way to do this is to gather a group of highly respected peers (not necessarily bosses) who have no authority to mandate changes but have a mandate to be brutally honest. Their job is to identify problems, while the solution is left to the creator.
This strategy is used at Pixar. Their “Braintrust” meets periodically to review films in development. They pull no punches, dissecting story flaws ruthlessly. However, the director is not forced to take their advice—only to acknowledge the problems. It works because, by removing the “authority” to command changes, the Braintrust lowers the creator’s defensiveness. It turns the project into a puzzle the group is solving together, rather than a territory the creator is defending.
4. Data-Driven Survival of the Best (A/B Testing)
When two employees argue over whose design is better, the Endowment Effect usually ensures both think they are right. The solution is to remove human opinion entirely. One effective way to do that is not to debate ideas but test them. If there is a disagreement on a feature or process, run both simultaneously (A/B testing) and let the user data decide the winner. This works because it outsources the decision to an impartial judge: the customer. It is impossible to maintain an irrational attachment to a feature when the data objectively proves it is hurting the company.
Netflix and Booking.com both use this approach. At Netflix, “Consumer Science” rules. No matter how much a designer loves a specific interface, if the A/B test shows users engage less, the design is killed. Booking.com runs thousands of concurrent tests, allowing the platform to evolve via “survival of the fittest” rather than manager preference.
Quote of the Week
“The price of doing the same old thing is far higher than the price of change.”
Bill Clinton, former U.S. President
© 2025, Keren Peters-Atkinson. All rights reserved.
