Zoho's Sridhar Vembu Says Forcing 'Discipline' On Employees Can Backfire, Explaining Trade-Off In Organisation Culture
Company culture debates usually settle on one word - discipline. But Sridhar Vembu, the founder of Zoho, argues that leaning too hard on that word can quietly kill the very initiative organisations need. Two paths, two very different workplaces Writing on X, Vembu laid out a contrast between two kinds of organisations. In the first, employees look upward for direction and execute against clearly…
Sridhar Vembu, founder of Zoho, warns that strict discipline within companies can backfire, potentially stifling the very initiative that drives their success. The tech executive presented two contrasting types of organizations in a recent post on X: one where employees follow clearly defined targets and wait for instructions from the top, and another characterized by autonomous decision-making, inter-team critique, and forward momentum without top-down direction.
Vembu's argument posits that metric-driven organizations tend to favor the former, yielding predictability but also placing the entire company's fate in the hands of leadership. Meanwhile, the latter model fosters a culture of initiative but often leads to internal friction and dissatisfaction.
Vembu notes that teams driven by initiative can be messier, with constant debate among members, second-guessing of each other's work, and a general sense of dissatisfaction. He uses the analogy of engineers reviewing each other's code, where the instinct is to believe it could be improved. In such an environment, he suggests, external factors like market forces often dictate progress rather than internal processes.
He concludes that there's no straightforward solution, as attempting to balance both approaches - a "disciplined culture of seizing the initiative" - usually leads to failure. Companies end up lacking either the predictability and certainty of the first model or the initiative and dynamism of the second. Vembu points to Zoho's own struggles, including rising memory prices driven by AI data center demands, as part of a broader shift in software development where the assumption that memory will remain cheap indefinitely is no longer valid.
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