Estimate how much management time goes into reading, responding to, organizing and reporting on customer feedback — and see where a centralized workflow can help.
Everything below is editable — the defaults are just a starting point.
Per location, per month. Leave a source at 0 if you don't use it.
All figures in CAD.
174
58 per location × 3
13 hrs
≈ 3.0 hrs/week
C$496
C$5,951
That works out to about 1.0 hours per manager per week. If that doesn't match what your team actually spends, adjust the minutes per piece of feedback — or tick the box above and enter your real hours.
An illustrative split of the 13 hours — useful for spotting which part to attack first, not a measurement of your team.
What the same workload would cost if a centralized workflow removed part of the manual effort. These are illustrative figures to frame the decision — not a guaranteed saving, and not a prediction about your team.
If 20% less manual effort
10 hrs/mo
C$397/mo · C$4,761/yr
If 35% less manual effort
8 hrs/mo
C$322/mo · C$3,868/yr
If 50% less manual effort
7 hrs/mo
C$248/mo · C$2,975/yr
Time is the part you can count. These are the things that tend to go wrong alongside it — they may or may not apply to you.
One place to collect every source, see what keeps coming up, assign who fixes it, and check whether it worked.
Based on your inputs, the operate plan fits: C$237/month for 3 locations, against an estimated C$496/month of management time.
Results are shown in full — no email required.
This tool multiplies your own numbers — locations, feedback volume, hourly cost — to work out roughly how much labour goes into handling customer feedback. Every step of the arithmetic is printed on the page so you can check it or argue with it.
An earlier version of this calculator estimated the extra revenue you'd earn from collecting more reviews. It chained together several assumed conversion rates to produce a confident-looking dollar figure. We can't stand behind that chain for any individual business, so we removed it. Published research does find a correlation between ratings and revenue — notably a Harvard Business School study of restaurant ratings — but a correlation observed across an industry is not a forecast for your shop, and presenting it as one would be dishonest.