5 Relics We Must Cut to Build a Culture of High Performance
"It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness…"
This article is not about any ordinary tale nor about 2 cities. It’s a time to reflect on some of the process relics we deal with globally.
As we begin the new year, we also begin preparations of the annual appraisal. In an era of Generative AI helping augment capabilities, creating agile workflows, and rapid innovation, most companies are still using a performance appraisal system designed in the latter part of the last century. We hold on to these processes not because they work, but because they make us “feel” relevant and maintain status quo.
Most traditional appraisal steps serve a system of bureaucracy, not the employee. Research from McKinsey confirms that employees who perceive their performance process as fair are 60% more likely to be productive. Most current appraisal systems would fail the fairness test.
If we want to create true impact, we must perform a “surgery” on the appraisal process and remove the parts that are no longer meaningful.
The 5 Relics to Remove
1. The "Bell Curve" (Forced Ranking and Distribution)
The Flaw: The Bell Curve with good intent assumes talent is distributed predictably. Like in Manufacturing. Humans are not machines. Modern knowledge work follows a Power Law (or Long Tail) distribution. Forcing managers to rank employees on a curve assumes we only have room for 10% to be great. It penalizes high performing teams by forcing someone to be labeled “Meets Expectations” or “Below Expectations”. The system does not recognize team efforts.
The Modern Shift: As Bain & Co notes, the goal should be increasing “Talent Density”. We should recognize hyper performers — those who provide exponential value — without “labeling” the solid gold standard majority just to satisfy an HR spreadsheet or system.
2. The Annual Self Appraisal: The Bureaucratic "Essay Writing Contest"
The Flaw: The essays reward the best writers, the best articulators, and the loud mouths. What about the best workers who could not write well? There is a massive confidence bias at play, where humble and soft-spoken overachievers undersell themselves while mediocre performers mask results with flowery prose.
The Modern Shift: In the age of AI, this “test of memory” is dead. AI can synthesize all transactions across messaging and program management platforms while summarizing meetings to tracking milestones in real time. We need to move from writing about work to analyzing the flow of work and measuring it.
3. Once-a-Year "Memory Test" Feedback
The Flaw: Annual reviews suffer from recency bias, where only the last few weeks of work can be remembered. Plus overengineered forms and documentation processes have no real value except if you put on a “litigation hat”.
The Modern Shift: Fast Company advocates for “in the flow” feedback. If feedback does not happen in real time, it is neither coaching nor development. It is an autopsy of a dead event.
4. Numerical Rating Scales (1–4/5)
The Flaw: Reducing a human being’s complex contributions to a decimal is dehumanizing. These numbers are often arbitrary and can vary wildly. We spend more time arguing over the decimal point than having a conversation about developing careers.
The Modern Shift: Replace ratings with qualitative growth dashboards that track “lead factors” instead of the usual “lag factors”. Of course, achievements are important to be measured. But it is crucial to understand the values and situations that contributed.
5. Untrained Peer Reviews
The Flaw: Without anonymity and serious training as a “Devil’s Advocate”, peer reviews create office politics rather than lead to professional growth. The unintended consequence is that it can lead to making the process political, add toxicity in discussions and give rise to reciprocity bias.
The Modern Shift: Use Blind peer nominations and analyze to see who people actually turn to for help, revealing those “quiet hyper performers” that managers often miss.
Moving from "Theater of Performance" to "AI Augmented Coaching"
The most common defense for some of these bureaucratic steps is that “we need data” for promotions and bonuses. But we can gather better data because we now have access.
By leveraging AI to summarize continuous conversations and track milestones, we can solve the “Power Law Paradox.” We can identify the outliers who drive 80% of the value without the bias of “proximity to power” or “luck” or recency bias.
To remove bias from the Power Curve, organizations should adopt:
- Context Filters: Using AI to normalize data against the “level of difficulty” of a project (e.g., achieving a win with zero budget vs. a massive one)
- Multiple Dimensions Measured: Looking at individual results, influence in the network, and alignment with values
- Informal buddies and mentors: Having someone as a “go to” person, to help employees and managers reflect on a continuous basis
The Bottom Line
If an appraisal process doesn’t leave an employee feeling motivated and clear on their path forward, then it’s not a performance enhancing tool. Why should companies waste resources in a paperwork exercise?
It is time to trade the status quo for continuous, high trust conversations. The technology is here. The research from McKinsey and Bain is clear. The only thing missing is the courage to stop doing things “the way they’ve always been done.”