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This study investigates the patterns of negotiation of meaning (NoM) routines that emerge during three types of online synchronous tasks-jigsaw, decision-making, and problem-solving-among learners of English as a Foreign Language (EFL). Grounded in Task-Based Language Teaching (TBLT) and interactionist theories of Second Language Acquisition (SLA), the research draws on a qualitative discourse analysis of 13 hours of transcribed spoken learner interaction involving 32 intermediate-level university students. A total of 225 negotiation routines were identified across the three task types. The jigsaw task produced the highest number of routines (n = 79), followed by decision-making (n = 74) and problem-solving (n = 72). While clarification requests were the most frequent across all tasks, each task elicited a distinct pattern: Jigsaw tasks generated frequent information-related clarification requests and confirmation checks; decision-making tasks prompted procedural comprehension checks and coordination-based checks; and problem-solving tasks led to deeper conceptual repairs and clarification episodes, reflecting their abstract and emotionally complex content. The findings suggest that task type and complexity significantly influence both the quantity and quality of negotiation routines, supporting claims from cognitive task complexity theory and interactionist SLA. The study also highlights the potential of online synchronous tasks to foster meaningful learner interaction, language-related episodes, and collaborative problem-solving. Pedagogical implications and suggestions for future research in digitally mediated TBLT environments are discussed.