How to balance speed and efficiency with quality data collection?

Speed is prized because success and visibility are often tied to being the first. Balance quality data collection 3 ways:

1. Measure quality by how much it meets the requirements, not how it’s better than everyone else. Meaning: if an Excel sheet satisfies the requirement for data delivery, then it is “good quality”. Conversely, a more sophisticated tool is “high class” but that does not necessarily translate to high quality.
2. Don’t skimp on project management! If you want a faster but not more costly data collection, control and monitor the scope and cost against the quality indicators. Speed is about making progression, not digression.
3. Quality ≠ perfection. Resist the urge to do A+ work because the reward is rarely proportional to the extraordinary effort you must exert. And only ONE misstep will break perfection!

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