This is the Electi Review. Today, why most dashboards fail the people who are supposed to use them, and what separates a dashboard that clarifies from one that just decorates data? The argument from Electi's latest piece is blunt. More charts do not mean more clarity. Most dashboards fail not because teams lack data, but because they lack design discipline. Throwing every available metric onto a screen produces chaos, dressed up as insight. The fix isn't more visualization, it's better selection. The piece lays out proven design principles. Choose the right chart type for the question being asked, not the one that looks impressive. Strip unnecessary decoration. Respect visual hierarchy so the eye lands on what matters first. Use color with intent, not decoration. These aren't aesthetic preferences, they're functional requirements. A dashboard is a decision-making tool, and every element that doesn't support a decision is noise competing for attention. Chart selection gets specific treatment. Bar charts for comparison, line charts for trends over time, scatter plots for correlation, matching form to function rather than defaulting to whatever a tool makes easiest. The article backs this with real-world examples, showing how the same data set can either obscure or reveal a story depending on how it's structured and displayed. The skeptical read here is this. Clarity is treated as a byproduct instead of the goal. Alecti's framing flips that. Clarity has to be engineered deliberately through restraint and principled design choices, not assumed to emerge from volume. For teams drowning in metrics but starved for direction, the lesson is straightforward. A dashboard crowded with everything tells you nothing. A dashboard built around a clear question, with a few well chosen visuals, can change a decision in seconds. That's the review.