To finalize an 18-month negotiation with music labels, Eleven Labs set deadlines to create urgency. These 'forcing functions' proved effective in driving the deal forward, even when the dates had to be moved. The imposed timeline compelled parties to make decisions and find a resolution.
In its flat, transparent organization, Eleven Labs found that giving employees access to all Slack channels created distraction. To enforce focus, they deliberately limited access to non-essential channels, finding that structural barriers were more effective than relying on individual self-discipline.
To balance immediate user needs with long-term R&D, Eleven Labs uses a "3-month rule." If a foundational research solution is projected to take more than three months, the product team is empowered to ship a simpler, faster, tactical solution in the interim.
Eleven Labs bypasses traditional hiring signals by looking for talent based on demonstrated skill. They hired one of their most brilliant researchers, who was working in a call center, after discovering his incredible open-source text-to-speech model. This underscores the value of looking beyond resumes.
To manage innovation and stability simultaneously, the company designates teams based on product maturity. 'Pre-PMF' teams have a six-month mandate to ship rapidly to find a market or be cut. 'Post-PMF' teams focus on long-term reliability and testing, creating distinct operational speeds within the organization.
As Eleven Labs shifted to enterprise, the long 6-12 month sales cycles caused skepticism among its fast-paced PLG teams. To maintain morale, leadership had to actively shield the teams from the lengthy process, asking for trust until the enterprise deals began to materialize and prove the strategy.
Eleven Labs learned that an effective first legal counsel for a startup must do more than just flag risks. A lawyer from a large corporate background paralyzed the company by only pointing out potential downsides. The right hire acts as a strategic partner who helps navigate the startup risk equation.