Counting tickets opened tells you little about delivery pain. Focus on where work stops moving and why. Is it waiting for feedback, environment access, or priorities? Instrument those moments with timestamps or simple checklists. Even rough data, collected consistently, exposes chronic slowdowns. Once identified, create explicit service policies, set clear response expectations, or bundle similar requests to reduce setup time. Aim for fewer stops, shorter waits, and predictable flow rather than purely higher starts.
Invite team members to share one recent request, step by step, with dates and messages. Plot each transition and wait. The story humanizes the data and reveals contradictions between stated process and actual behavior. Often, a single missing template or unclear entry criterion causes days of delay. Fixing that tiny friction delivers outsized relief. Celebrate the improvement publicly to reinforce learning, build trust, and normalize the practice of grounding changes in real, time-stamped stories.
Hold a short, focused standup around the map, asking three questions: Where is work blocked? What moved yesterday? What will we finish today? Keep it visual with explicit WIP limits. Surface aging items, not just new requests. By reviewing the same cues regularly, the team detects bottlenecks early, responds before queues explode, and practices respectful accountability. This simple ritual improves predictability and pares away hidden multitasking that quietly erodes quality, energy, and delivery confidence.