When a founder in Costa Rica invests USD 5,000–15,000 in custom software, half the time they never find out whether it was a good investment. Not because the software failed — but because no one measured. This guide gives you the 90-day framework we use at Sirius with every new client: what to measure on Day 1, 30, 60, and 90, the three levers that matter, concrete per-vertical KPIs, and a real case where a B2B distributor recovered USD 8,600 in 8 months.
If you need to validate your potential investment now, jump to the interactive quote builder — 4 questions, USD range + payback estimate based on your vertical.
💡 TL;DR: Custom software ROI is measured at four checkpoints (Day 1 baseline, 30 adoption, 60 financial read, 90 assessment) using three levers: operational savings, revenue lift, and cost avoidance. Without a written baseline before Day 1, the rest of the framework does not work. Reasonable CR target: payback in 6–18 months by vertical.
Why most CR founders do not measure ROI well
Across the last dozens of projects, we saw the same pattern. The founder signs convinced the ROI will be "obvious" — the system "clearly" will save time and professionalize operations. Three months later, when a partner or investor asks "was it worth it?", the answer is a feeling, not a number. Three recurring reasons:
No baseline is set before launch. Without knowing how many hours the process used to take, there is no way to calculate the savings. You measure blind.
Only revenue gets measured. In operational custom software (POS, PMS, appointments, ERPs), 60% of the ROI is almost always in operational savings and in cost avoidance (canceled licenses, avoided hires). If you ignore them, you abandon a project that actually paid off.
Vanity metrics get confused with impact metrics. Dashboard visits, registered users, bot messages. If the metric does not translate to USD, it does not count toward ROI.
Mid-year planning (June–July in CR) is the moment to fix this. If you invested in Q1, the checkpoints land right for an assessment now. If you are evaluating an investment in Q3, this framework tells you what to ask the agency for from the initial quote.
The 90-day framework — the 4 checkpoints
Four control points with defined metrics. Not science, just discipline.
| Checkpoint | What to measure | Expected output |
|---|---|---|
| Day 1 | Pre-launch baseline (5 numbers) | Sheet signed by founder + ops lead |
| Day 30 | Adoption and early signals | % real usage, time per process vs. baseline |
| Day 60 | First financial read of the 3 levers | USD/month saved + USD/month gained |
| Day 90 | Final assessment + payback projection | 12-month ROI, Phase 2 decision |
Day 1 — the baseline (what almost nobody does)
One week before go-live, sit down with your ops lead and document five numbers:
- Weekly hours per process. How much staff time does it take today to book, close, invoice? Count real time. If you do not know, ask the person who does it.
- Loaded hourly cost per role. Gross monthly salary × 1.4 (social charges + bonuses) ÷ 173 hours. A receptionist on CRC 450,000 lands at ~USD 7.30/h loaded. A manager at USD 14–18.
- Errors or lost tickets per month. Unregistered reservations, badly issued invoices, customers lost because no one answered in time. Honesty matters more than precision.
- Eliminable monthly licenses. Paid spreadsheets, SaaS the custom will replace. Sum exact in USD/month.
- Key-process time. How long a reservation, invoice, or close takes today. Time it two or three times.
This sheet gets signed — stored in Notion or Google Docs with a date. It is the "before" against which everything else compares.
Day 30 — early adoption signals
At 30 days you do not expect ROI. You expect the team to be using the system. Three metrics:
- Percent of real usage. Active weekly sessions vs. created users. If only 40% uses it, adoption is the problem — not software. Training + an internal champion fixes this.
- Time per process vs. baseline. Does a reservation that took 8 minutes now take 3?
- Qualitative feedback. 15 minutes with each key user. What is hard? What is easier?
If adoption is above 70% and times dropped at least 30%, you are on track. If not, Day 60 will be painful — fix it now.
Day 60 — first financial read
At 60 days operations have stabilized. First honest read of the three levers:
- Operational savings = (hours/week saved) × (loaded hourly cost) × 4 weeks
- Revenue lift = (additional month-2 tickets − pre-launch month tickets) × average ticket
- Cost avoidance = USD/month in canceled licenses + equivalent of avoided hires
Sum the three and compare against initial investment. At 20–30% recovered in 60 days, run-rate projects payback in 6–10 months — excellent. At 10–15%, normal track. Below 5%, something needs adjustment.
Day 90 — final assessment and payback projection
Repeat the calculation with another month of data. Project ROI to 12 months assuming the monthly run-rate holds:
Payback (months) = initial investment ÷ monthly (savings + lift + avoidance)
If the projected payback is under 18 months, the project was successful. Document the ROI in writing — it is what you pull out when a partner or investor asks whether it was worth it, and what you use to defend Phase 2.
Metrics that matter vs. vanity metrics
| Matters | Vanity |
|---|---|
| Hours/week saved × hourly cost | Admin dashboard visits |
| Tickets captured that used to be lost | Registered users |
| Avoided OTA commission (direct bookings) | Posts published / content uploaded |
| Canceled licenses (USD/month) | Total dev-team hours invested |
| Average time per process (Day 1 vs 90) | Number of features shipped |
| Reduced no-shows × value of lost appointment | Likes / comments on social media |
| Eliminated inventory errors | Bot messages received |
The difference is convertibility to USD. If the metric does not translate into a dollar number (saved, gained, or avoided), it does not enter the ROI. Period.
Per-vertical metrics — concrete KPIs
Each vertical has different metrics. What we measure with Sirius clients:
| Vertical | Operational savings | Revenue lift | Cost avoidance |
|---|---|---|---|
| Restaurants (POS + e-invoicing) | Admin hours, daily close time, eliminated inventory errors | Tickets captured without delay, upsell raising average ticket | Canceled legacy POS licenses, avoided close-assistant hire |
| Hotels (PMS + channel manager) | Front-desk hours on manual calendar sync | % direct bookings won × Booking/Airbnb 15% commission | SaaS channel manager canceled, external dev avoided |
| Clinics (WhatsApp appointments) | Assistant hours no longer on WhatsApp manual, no-shows reduced | Slots filled that used to stay empty × average appointment | Licensed scheduling canceled, second assistant avoided |
| Ecommerce (custom Next.js + SINPE) | Hours on manual payment and shipping reconciliation | Conversion × traffic (custom adds 1–2 points vs Shopify) | Shopify 2.4% commission + USD 39/mo and paid apps eliminated |
| B2B / distributors (custom ERP) | Hours on manual quotes, stock errors causing returns | Larger orders thanks to better catalog visibility | Legacy ERP canceled, three admin assistants avoided |
Real case — B2B beauty distributor, payback in 8 months
B2B beauty-products distributor in the Greater Metropolitan Area. Sold to salons, barbershops, and hair studios — 180 active customers, ~420 SKUs, three field sales reps + two office people.
The problem: everything ran on Excel and WhatsApp. Quoting an order took 25–40 minutes. Stock errors ran 8–12/month and triggered returns costing USD 80–150 each. Month-end close took the accountant 2 full days.
Sirius investment: USD 8,600 — custom ERP with quotes, multi-warehouse inventory, sales rep panel with automatic commissions, bank API integration for reconciliation.
Day 1 baseline (what we wrote before go-live):
- Time per quote: 32 minutes average.
- Office hours/week on orders: 28 hours (two people × 14 h).
- Stock errors: 10/month × USD 110 average = USD 1,100/month in returns.
- Month-end close: 2 days × 8 hours × USD 11/h loaded = USD 176/month.
- Eliminable monthly licenses: USD 40/month (SaaS inventory spreadsheet they were paying for).
Day 30: 90% adoption. Time per quote dropped to 6 minutes. Three field reps use the panel from their phones.
Day 60 — financial read:
- Operational savings: 20 h/wk × USD 11 × 4 = USD 880/month.
- Stock errors: 10 → 2/month = USD 880/month in avoided returns.
- Month-end close: 2 days → 4 hours = USD 132/month.
- Canceled licenses: USD 40/month.
- Revenue lift: orders grew ~12% from on-the-spot quoting = USD 1,800/month additional in margin.
Total: USD 3,732/month (conservative on revenue lift).
Day 90 — assessment: projected payback = USD 8,600 ÷ USD 3,732 ≈ 2.3 months purely operational, or ~8 real months factoring in that the first month did not yield full value and some savings took 60 days to stabilize. Phase 2: e-invoicing integration with Hacienda (additional USD 3,200) paying back in 4 months.
The important thing was not the final number — it was that the founder could defend it in writing to the partner investor who had doubted the project at the start.
Seven steps to implement the framework
Document the baseline before Day 1. The five numbers (hours/week, loaded hourly cost, errors/month, eliminable licenses, key-process time) written, signed by founder + ops lead, stored in Notion or Google Docs.
Define the three levers. One KPI per lever, not five diluted ones: operational savings (hours × hourly cost), revenue lift (tickets × average), cost avoidance (canceled licenses + avoided hires).
Assign owner and cadence. One person reports every 30 days in writing (not in a meeting). If no one owns it, no one measures it.
Day 30 — early signals. % usage, time per process vs. baseline, qualitative feedback. Do not expect savings yet — expect healthy adoption.
Day 60 — first financial read. Sum the three levers. At 20–30% recovered, excellent. Below 5%, fix it now — do not wait for Day 90.
Day 90 — assessment and Phase 2 decision. Project payback to 12 months. Document in writing. Decide which features have the next-best marginal ROI.
Continuous-evolution retainer. Every 90 days repeat the assessment. If a lever loses strength, it is time to evolve. A USD 150–500/month retainer covers it.
Common ROI-measurement mistakes
After dozens of projects, the five mistakes we see most:
Mistake 1 — Measuring only revenue. If your software is operational, 50–70% of the ROI is in operational savings and cost avoidance. If you only look at revenue, you abandon a project that paid off.
Mistake 2 — Not setting a baseline. Without the written "before," there is no way to calculate the "after." Reconstructing it retroactively has a ±40% margin of error.
Mistake 3 — Confusing adoption with impact. The system can have 95% usage and still generate no ROI if it solved the wrong problem. Adoption is necessary, not sufficient.
Mistake 4 — Not counting cost avoidance. "We did not hire the assistant we were going to hire" is real ROI — USD 600/month × 12 = USD 7,200 avoided in the first year. Because it never hit payroll, it goes unseen. Write it down.
Mistake 5 — Forgetting recurring costs. Hosting (USD 25–80/month), AI tokens (USD 20–200/month), payment gateway commissions, maintenance retainer (USD 150–500/month). Subtract from gross ROI to land on real net ROI.
When custom software makes sense
Not every project justifies custom-built software. Three questions before quoting:
- Is the process specific enough that no SaaS solves it? If Shopify, Calendly, Fresha, or a generic POS solves 80%, custom probably does not have ROI. Custom wins when the business has rules no SaaS models well.
- Does the baseline justify the cost? 4 h/wk × USD 8/h = ~USD 140/month potential. A USD 8,000 system would take 57 months to pay back. Buy the SaaS.
- Will you use the system 3+ years? Custom pays off on a long horizon.
If unsure, read the pillar guide on software cost in CR, compare agency vs. freelancer, or check your specific vertical in services before deciding.
In summary
| Checkpoint | Expected output |
|---|---|
| Day 1 | Written baseline: hours, hourly cost, errors, licenses, process time |
| Day 30 | Adoption > 70%, times dropped ≥ 30% vs baseline |
| Day 60 | First financial read of the three levers |
| Day 90 | Projected payback < 18 months + Phase 2 decision |
Custom software ROI is not discovered by accident — it is designed with a baseline, measured with discipline, and defended with written numbers. Without the four checkpoints and three levers, what you have is a feeling, not a decision.
💡 Want to validate the potential ROI of your next project? Use the interactive quote builder — USD range + payback estimate based on your vertical.
📞 Talk directly: WhatsApp +506 8433 7752 or admin@siriusx.net. Before quoting we help you calculate the potential ROI for free — 30 minutes to understand your baseline.
Related posts
- How much does software cost in Costa Rica in 2026 — pillar guide with ranges by project type and vertical.
- MVP in 6 weeks: the schedule — what gets done each week and how progress is measured.
