Operations leaders inherit broken workflows. The temptation is to fix everything; the result of trying is fixing nothing. Here’s a 30-day plan that finds your worst workflow leak, fixes the highest-leverage version of it, and proves the pattern your organization can apply to the next one. Four weeks. Four specific moves.
Week 1: Map the leaks (don’t fix anything yet)
Walk three workflows end-to-end. Not interview-style. Sit with the person doing the work, screen-share or in person, and document every step they take. Time each step. Note every system they switch between. Note every “then I copy this over to” moment.
For each workflow, you’ll produce two numbers: minutes per cycle, cycles per week. Multiply by 52 and by labor cost. You now have annualized cost for three workflows. Rank them. Pick the biggest one. That’s your fix target.
Week 2: Define what fixed looks like
Write down what “fixed” means in five concrete sentences. Not “more efficient” — specifically: the rep no longer touches X, the data lands in Y automatically, the manager sees Z in real time, the cycle time drops from N to M.
This is the step that distinguishes an ops leader who’ll fix a leak from one who’ll re-broadcast the leak. The five sentences become your acceptance criteria for whatever solution you pick — build, buy, or process-only.
Week 3: Decide between build, buy, and process
Three options for any leak:
- Process-only. The workflow is fine; the process discipline is missing. Fix the process. Free.
- Buy a tool. The workflow is generic enough that off-the-shelf works if implemented well. Cost: subscription + training.
- Build custom. The workflow has specifics that don’t fit a template, and the annualized cost justifies a one-time build. Cost: $15k–$100k typically.
The honest filter: if your annualized leak cost is under $50,000, start with process or off-the-shelf. Above $100,000, custom is almost always the answer — the payback is fast and the leak compounds. Between those, run the tradeoff carefully.
Week 4: Ship the fix, measure the lift
Don’t try to ship perfect. Ship the version that hits the five acceptance criteria from week 2. Roll out to one team or one region. Measure the cycle time and error rate for two weeks. Then expand.
At the end of week 4, you’ll have one fix shipped, real before/after numbers, and a pattern your org can apply to the next leak. The pattern matters more than the first fix — it’s how operations turns from a fire-fighting role into a system-fixing role.
About the author
Sarah PatelHead of Product Strategy · FusionSales.ai
Sarah shapes how FusionSales.ai approaches every build — starting with how real users do their work, not what the spec sheet says.
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