The dashboard now reads your own numbers back to you

Looking at a financial chart and understanding what it's telling you are two different things. A Payback of 3.4 years means something different if your horizon is 5 versus 10. An IRR of 22% is brilliant against a 12% MARR and mediocre against 20%. Until yesterday, you kept all that in your head. From today, the system says it — in a single sentence, below every chart.

The change in one line

Every chart in the dashboard now shows, just below it, a short sentence that interprets your specific result — not a generic explanation of the metric, but a reading of your project: whether your margin of safety is robust or tight, whether your Payback is fast or slow, which variable moves your NPV the most. The interpretation changes color (green, navy, amber, or red) based on how favorable the data is.

If you want to see it right now, load your project into the dashboard: the sentences appear automatically below each chart once results are computed.

Before

Until this week, the dashboard was designed under an assumption comfortable for us and exhausting for you: that you'd know how to read every chart on your own. We gave you the tools — a Payback, an IRR, a Sensitivity Tornado — and the responsibility of translating those numbers into a decision sat entirely on your side.

The "Learn more" on each chart (the card-flip animation) explains what the metric is in general. That stays, because it helps the first time. But it didn't answer the question that actually matters when you're wrapping up your analysis: what does this specific number say about this specific project, today?

The cost of leaving that out

Two concrete effects we saw in real use:

• Entrepreneurs with good projects discarding solid analyses because they misread a "4-year" Payback without realizing their horizon was 8 — in which case it's a fast project, not a slow one.
• Screenshots of the dashboard shared in entrepreneurial groups or with partners showed charts without context. The recipient saw shapes, colors, numbers — but didn't know what conclusion to draw.

Why we decided to change it

The product's central promise is that it replaces a financial consultant. A consultant doesn't hand you a spreadsheet of cold numbers and leave you to interpret them: they say "this looks good", "this could cause trouble in year 2", "watch this variable specifically". That layer of reading was missing in the product, and without it the value proposition was only half-delivered.

The entrepreneur doesn't want to learn engineering economics. They want to know whether their project is worth it, where the fragile points are, and what to adjust before investing. The dashboard now answers those three questions in plain English (or whichever language you picked), below every chart.

The second reason is brand. Saying "factibilidad.io is the only one that reads your own analysis back to you" is a stronger and more differentiable claim than "factibilidad.io has professional charts". Now we can back it up.

Now

The nine main charts in the dashboard have their own reading strip. The most important ones:

• Cash Flow tells you whether the project generates positive cash in every year, when it turns around, or whether it never does.
• Payback places you in one of five buckets relative to your horizon: fast, normal, slow, beyond horizon, or never.
• NPV Profile compares your IRR to your MARR and tells you whether the cushion is generous, tight, or negative.
• Sensitivity Tornado identifies the variable that moves your NPV the most and recommends validating that one first.
• Margin of Safety classifies how far demand can fall before you hit losses as robust, acceptable, tight, or below break-even.
• Break-even Point tells you whether you're selling comfortably above, just above, or below break-even — with the exact number you'd need.
• PERT Analysis flags whether your NPV is positive even in the pessimistic scenario, whether there's real risk of closing negative, or whether only the optimistic case rescues you.

Each sentence uses four colors based on how favorable the reading is: green for solid scenarios, navy for neutral, amber for caution zones, red for alerts. The idea is that just scanning the colors gives you a map of strengths and risks before you read a single line.

The rule behind the sentences

There's no artificial intelligence. Each sentence is picked using clear, predictable conditionals over your results — for example, "fast Payback" triggers when you recover the investment in less than a third of your horizon; "tight Payback" when you're in the last third; and so on. The rules are the same ones a project evaluator with the classical methodology would use. The difference is that now the system applies them on its own, against your numbers, in real time.

A concrete example: two coffee shops

To make the difference visible, let's compare two projects with similar numbers but different realities.

Coffee Shop A — Palermo

• Initial investment: $18,000,000
• Year-1 volume: 24,000 cups/year
• Annual growth: 15%
• Horizon: 5 years
• Resulting NPV: +$4,200,000
• IRR: 31%
• Required MARR: 15%
• Simple Payback: 2.9 years

Coffee Shop B — Tigre

• Initial investment: $18,000,000 (same fit-out and equipment)
• Year-1 volume: 20,000 cups/year
• Annual growth: 3% (lower-traffic zone)
• Horizon: 5 years
• Resulting NPV: +$900,000
• IRR: 18%
• Required MARR: 15%
• Simple Payback: 4.4 years

Before, both coffee shops would show green charts (positive NPV, IRR > MARR), and you'd have to visually compare which one looked better.

New reading, in the strip below each chart

Coffee Shop A:

You recover the investment in 2.9 years, well below your 5-year horizon. Fast payback, low risk.

Your IRR (31%) exceeds your MARR (15%) by 16%. The project creates value above your minimum required return.

Safety margin of 33%. Acceptable, but sensitive to sharp drops.

Coffee Shop B:

You recover the investment only in 4.4 years, close to the end of your 5-year horizon. Tight margin.

Your IRR (18%) exceeds your MARR (15%) by 3%. The project creates value above your minimum required return.

Safety margin of 9%. High risk: small drops push you to break-even.

No tables, no cross-referencing numbers, no opening the methodology: the strip tells you A is a solid project with one point to watch (demand), and B is a borderline project where any small deviation pushes it into the red. The operating conclusion shifts: with A, you assign normal working capital and start; with B, either you negotiate a lower investment, or a lower rent, or you don't open.

What's next

This first version covers the nine main dashboard charts. Two refinements are already in the queue:

First, comparative interpretation against your industry. Today the sentences look at your project in isolation. Soon, when you pick your sector (food service, e-commerce, manufacturing, services), the sentences will compare your Payback or your IRR to Latin American sector averages — "your Payback of 3.4 years is above the Latam food-service average (4.1 years): better than the sector median".

Second, a header interpretation at the top of the dashboard combining every finding into a three-line paragraph. Something like: "Your project is viable, with one clear fragile point: sales. Any drop of 12% or more pushes you into loss in the first 18 months. Secure working capital for that window before investing."

When they ship, you'll find them here in the same format: what we used to do, why it changed, and a numeric example that shows the difference.

Is there an interpretation you expected to read and didn't find? Write to us at psservices.client@gmail.com and we'll add it. Meanwhile, apply what you just read → and watch your own analysis explain itself.