Case studies
Every engagement starts with a problem worth solving. Here's what happens when we get to work.
National EV charging contractor — quoting process transformation
Win rate doubled — 10% → 20%
Margin improvement
Quote turnaround — from up to 2 weeks
The problem
Swift Charging's quoting process relied heavily on third-party contractors to visit sites and produce estimates. Turnaround times stretched to up to two weeks, and an analysis of historical quotes revealed a consistent pattern: pricing was landing above the high end of market value. The result was a win rate of just 10% — leaving the majority of opportunities on the table before any conversation had even started.
What we did
Daybrain Consult audited the end-to-end quoting workflow and identified contractor cost inflation as the root cause of both slow turnaround and inflated pricing. We onboarded Swift Charging to dayBrain Volt and embedded Daybrain consultants to generate quotes directly on their behalf — bringing the process fully in-house. With contractor site visits removed from the critical path, quotes began shipping within the same working week at a cost structure that allowed competitive, market-rate pricing for the end customer.
The result
Win rate doubled from 10% to 20%. Margin improved by 8%. Quote turnaround dropped from up to two weeks to within the same working week — giving Swift Charging a material competitive advantage in a fast-moving market, and a lower cost to the end customer that the competition couldn't match.
Milestone messaging automation — 20 minutes to under a minute
Time to send milestone messages — from 20 minutes
Single source of truth — down from scattered records
Manually typed messages
The problem
An online tutor needed to message students on WhatsApp at key milestones throughout their course — enrolment, homework, mock results. The friction wasn't sending the messages, it was everything before that: pulling together scattered student data and composing each message by hand. That manual overhead meant messages were rushed, and rushed messages meant typos.
What we did
After talking with the client and understanding the real pain point, we built a simple platform in Google Sheets — why make it complicated if you don't need to. From one sheet, the tutor could track enrolment, student details, and homework and mock results. Based on these entries, welcome, well-done, and better-luck-next-time messages were generated automatically, ready to send in a couple of clicks.
The result
Sending 5 messages dropped from 20 minutes to under a minute. Searching for student data across scattered records was reduced to one file. Manually typed messages went to zero. The platform scales too — sending 50 messages now takes no more effort than sending 5.
More case studies
Further engagements being documented — check back soon.
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