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Gantry Project Portfolio Dashboard Template

Gantry is a single-file HTML dashboard for portfolio control: program cards, a 16-week Gantt, capacity heatmap, risk register, burn rate, and change orders.

Gantry is a project portfolio dashboard template delivered as one self-contained HTML file. It presents the delivery office of a fictional consultancy, Fieldworks Studio, as an engineering-style control sheet: 6 client programs, 30 staff, and a window from April 27 to August 16, 2026. The header strip reports that 3 of 6 programs are on track, 2 are at risk or blocked, 1 milestone is overdue, the next milestone is a model freeze on Jul 13, and spend vs plan sits at +$21,200.

The page is laid out as 12 numbered sections, like sheets in a drawing set. Section 01 holds clickable program cards. Section 02 is a program Gantt across a 16-week window where hovering a bar shows owner, dates, and float, and milestone diamonds open their definition of done. Section 04 is a critical path note for program FW-137 Cinder, tracing data model rebuild to ledger service to compliance review to audit gate with zero float. Sections 05 to 07 cover resourcing: a weekly load heatmap for the next 8 weeks where red means booked over 100%, a bench list, and a capacity crunch analysis with two named options. Sections 08 and 09 hold a probability-times-impact matrix and a 10-item risk register. Sections 10 to 12 chart planned vs actual spend, cumulative burn rate for the two largest programs, and a change order log for FY2026.

What is inside Gantry

Specifications

FormatSingle self-contained HTML file; zero dependencies, no build step
ThemeBlueprint
MoodLight
CategoryProjects
Price$6.99, one-time

Who Gantry is for

Gantry serves PMO leads and delivery directors, who use the header strip and program cards to run the Monday portfolio review across all 6 programs.

Program managers use the Gantt and the critical path note to defend dates, since zero-float chains show exactly where a slip lands.

Resource managers use the weekly load heatmap and bench list to resolve overbooking, like A. Ferreira at 120% for the weeks of Jul 13 and Jul 20.

Engagement leads and account managers use the change order log and burn rate charts to discuss scope and spend with clients.

Risk owners work the risk register, sorted by probability-times-impact score with mitigation and due date per row.

When to reach for it

Gantry fits delivery offices where the portfolio review runs on a slide deck rebuilt every week. The template replaces that deck with a single page where the Gantt, the load heatmap, and the risk register already agree with each other.

It fits consultancies and agencies that bill by the program. The change order log and planned vs actual charts keep commercial facts next to delivery facts, which a task tracker alone does not do.

It also replaces a resourcing spreadsheet: the capacity crunch section shows the two pinch weeks and two costed options, so the staffing decision starts from evidence.

Frequently asked questions

How many programs can Gantry show?

Gantry shows 6 client programs, 30 staff, and a 16-week window in the sample data. Program cards, Gantt bars, and load heatmap cells are all data-driven from arrays in the file, so you add or remove programs by editing those arrays.

Does Gantry replace Microsoft Project or Smartsheet?

No, Gantry replaces the reporting view, not the planning tool. Gantry shows status, timeline, capacity, risk, and spend on one read-only sheet. You still plan elsewhere, then publish the numbers into the file for stakeholders to read.

What makes the risk section different from a spreadsheet?

The risk section pairs a probability-times-impact matrix, where each risk is a hoverable dot, with a register table sorted by score. Position on the matrix and row order come from the same data, so the visual and the table never disagree.

Is Gantry editable without coding experience?

Mostly yes, Gantry is editable without coding experience. Program names, dates, KPI numbers, and risk rows are plain text values in the file. Restructuring a chart takes basic JavaScript, but updating content is find-and-replace work in any editor.

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