A data-entry worker at a nonprofit recounts a tedious workflow: donation information arrived as messy email attachments (Excel files, Word documents, or pasted text) and had to be transcribed, one row at a time, into a FileMaker Pro database. Error-prone manual entry and mismatched columns limited output to about a dozen entries per day. To fix this, a form with validation was created, a standardized Excel template was tried (rejected by many collectors), then a formatted Word document proved workable, and a Monday reminder email policy synchronized submissions. Those changes multiplied throughput by more than tenfold - hundreds of donations processed daily - and dramatically reduced entry errors.
The central argument is that productivity gains rarely translate into lasting benefits for the worker: once higher output exists, managers reset expectations rather than giving back time. The author’s “productivity knob” metaphor shows how improvements become the new baseline; when expectations stay high, the initial gains are effectively erased. The piece warns that modern parallels - managers quickly cobbling apps or AI tools - produce flashy early wins but then demand careful, slow maintenance, and can create social pressure that paints other teammates as lazy. The author was ultimately let go after training a replacement who couldn’t sustain the volume, underscoring that process fixes without institutional support or recognition often vanish.
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