Reporting & analytics

Live reports that tell the whole
delivery and financial story.

Effigate includes 9 built-in report types fed from project delivery, helpdesk, time tracking, and billing data. No export-and-reconcile cycle. No disconnected spreadsheets.

Reporting capabilities

Everything you need to report on delivery and financial performance

Nine report types, advanced filters, async exports, and live data — built into the same platform that runs your projects, helpdesk, and billing.

9 built-in report types

Executive Summary, Project Financial, Sprint Execution, Member Utilisation, Revenue Realisation, Client Profitability, Estimated vs Tracked, Internal Cost, Expense Analytics.

Advanced filters

Filter by project, client, sprint, date range, team member, or contract across all reports.

CSV & XLS export

Async export jobs deliver formatted reports to download — no page freeze on large datasets.

Utilisation tracking

Member utilisation rates across all projects and tickets, with capacity vs logged hours comparison.

Financial reporting

Revenue realisation, client profitability, internal cost, and project margin tracked per engagement.

Live data

Reports pull from live operational data — not nightly batch imports or manual refreshes.

Project financial reports

Budget vs actual — tracked per engagement, not per spreadsheet

Project financial reports in Effigate draw on live contract, time log, and invoice data to give an accurate view of project-level financial health without manual data assembly.

  • Budget vs actual variance tracked per project and per sprint
  • Estimated vs tracked hours with deviation flags
  • Revenue per project drawn from issued and pending invoices
  • Margin analysis accounting for internal cost and rate conditions
  • Contract type breakdown — Fixed Price, Hourly, Bucket, and Scope-Based side by side

Project Financial Report

Contract consumption and billing posture

Month Close Ready

Platform Rewrite Q1

341h / 800h
Consumed 43%
Billed 35%

Nexus Corp Support

63h / 100h
Consumed 63%
Billed 60%

Portal Redesign

198h / 200h
Consumed 99%
Billed 95%

$47.2k

Contracted

$38.4k

Billed

81%

Gross Margin

Member utilisation

See who is over capacity and where idle hours are hiding

Effigate compares logged hours against each member's configured workday availability to produce accurate utilisation rates — surfacing over-allocation risk and idle capacity at a glance.

  • Individual and team-level utilisation rates per period
  • Planned vs logged hours comparison per member and per project
  • Idle capacity identification across the team
  • Over-allocation risk flag when committed hours exceed availability
  • Capacity baselines drawn from Workday & Availability settings

Member Utilisation

Team capacity · Mar 2026

1 Over Cap

164h

Logged total

160h

Team capacity

79%

Avg billable

AC
Alice Chen Lead Dev
38h / 40h

Platform Q1

92%

Healthy
BS
Bob Smith Backend
45h / 40h

API Gateway

78%

Over cap
CD
Carol Davis Frontend
28h / 40h

Platform Q1

85%

Healthy
DK
David Kim QA
18h / 40h

Client Portal

60%

Under
4 members · 2 projects Logs lock after 3 days
Sprint execution analytics

Sprint velocity, scope changes, and delivery completeness in one view

Sprint execution reports track what was planned, what changed, and what was delivered — giving delivery managers the data they need to run accurate retrospectives and improve future sprint forecasts.

  • Sprint velocity trends across multiple sprints
  • Completion rates: story points and task count delivered vs committed
  • Scope change tracking — items added or removed mid-sprint
  • Blocked task duration and root-cause categorisation
  • Points delivered vs committed with sprint-over-sprint trend line

Sprint Execution Analytics

Sprint 12 throughput and velocity trends

+12% vs Last Sprint

18

Committed

12

Completed

6

Carry-over

Velocity (story points)

Avg 10.9 pts/sprint

S6
S7
S8
S9
S10
S11
S12
Cycle time this sprint 2.8 days median
Revenue and client profitability

From invoice data to margin insight — without leaving the platform

Revenue and profitability reports connect contract terms, time records, and issued invoices into a single view of how each client and engagement is performing financially.

  • Revenue realisation per contract and per billing period
  • Client profitability over time — revenue minus internal cost
  • Rate condition impact: how after-hours and priority surcharges affect margin
  • Invoice-to-payment lag per client and per invoice cycle
  • Trend analysis across multiple contracts for the same client

Project Financial Report

Contract consumption and billing posture

Month Close Ready

Platform Rewrite Q1

341h / 800h
Consumed 43%
Billed 35%

Nexus Corp Support

63h / 100h
Consumed 63%
Billed 60%

Portal Redesign

198h / 200h
Consumed 99%
Billed 95%

$47.2k

Contracted

$38.4k

Billed

81%

Gross Margin

Executive summary dashboard

Portfolio-level health in a single executive view

The Executive Summary report aggregates delivery health, financial performance, and team capacity into a single view designed for leadership — optionally enriched with AI-narrated summaries from Dhyey.

  • Portfolio-level delivery health across all active projects
  • Cross-project KPIs: velocity, utilisation, margin, and SLA compliance
  • Financial performance summary: revenue, invoiced, and outstanding
  • AI-narrated sprint summaries generated by Dhyey from live delivery data
  • AI-generated content clearly labelled and opt-in per tenant

Executive Summary

All tenants · March 2026

Live

Active Projects

12

+2 this month

Revenue Pipeline

$142k

+18% vs Feb

SLA Compliance

94.2%

−1.8% vs Feb

Team Utilisation

78%

Optimal range

Project Health

3 active

Platform Rewrite Q1

Nexus Corp

On Track

Nexus Corp Support

Nexus Corp

At Risk

Portal Redesign

Globex Ltd

On Track

2 items need attention

1 SLA at risk · 1 invoice overdue by 3 days

How reporting works

From delivery activity to exported insight — a clean reporting flow

Effigate reports are always grounded in the operational data your team generates — no manual data loading required.

  1. 1
    Step 01

    Data captured in delivery

    Time logs, task completions, sprint events, invoices, and SLA outcomes are recorded as team members work.

    • Time logs
    • Sprint events
    • Invoice records
  2. 2
    Step 02

    Filters applied

    Select the report type and apply dimension filters: project, client, sprint, team member, date range, or contract.

    • Report type
    • Dimension filters
    • Date range
  3. 3
    Step 03

    Report generated live

    Effigate queries live data and renders the report instantly — no batch pipeline or scheduled refresh to wait for.

    • Live query
    • Instant render
    • No batch lag
  4. 4
    Step 04

    Exported or shared

    Export to CSV or XLS via async job, share a report link, or receive scheduled digests via Slack, Teams, or email.

    • CSV / XLS export
    • Async job
    • Scheduled digests
Integration ecosystem

Distribute reports through the channels your team already uses

Schedule and deliver report summaries, anomaly alerts, and executive digests to stakeholders through Slack, Teams, email, and your source control platforms.

Slack

Post scheduled report digests and KPI snapshots to Slack channels when reports are ready.

Notifications

Email

Deliver recurring report summaries and export-ready notifications directly to leadership inboxes.

Notifications

Microsoft Teams

Broadcast executive digest notifications and financial performance summaries to Teams channels.

Notifications

GitHub

Include commit and pull request activity as source data for commit-linked delivery analytics.

Source control

GitLab

Incorporate merge request cycle time and MR activity into sprint execution and delivery reports.

Source control
Frequently asked questions

Questions about Effigate reporting and analytics

Effigate ships with 9 built-in report types: Executive Summary, Project Financial, Sprint Execution, Member Utilisation, Revenue Realisation, Client Profitability, Estimated vs Tracked, Internal Cost, and Expense Analytics. Each report is fed from live operational data — delivery records, time logs, contracts, and invoices — so there is no nightly batch import or manual data refresh required. All reports are available from day one without configuration.

Yes. Every report in Effigate supports advanced filtering across multiple dimensions simultaneously: project, client, sprint, date range, team member, contract, and job type. Filters are applied server-side against live data, so the results always reflect the current operational state. You can narrow a utilisation report to a single team member over a specific sprint, or a financial report to a specific client across all their contracts — the filter combinations are fully flexible.

Effigate runs report exports as asynchronous background jobs. When you request an export, the platform queues the generation task and notifies you when the file is ready to download. This means large multi-project or multi-year exports do not freeze the browser or time out mid-generation. The formatted file is delivered to the download queue, and a notification is triggered via your configured channels (email, Slack, Teams) when it is ready.

Member utilisation in Effigate is calculated by comparing logged hours to planned capacity across all projects and tickets for each team member within the selected date range. The platform surfaces individual and team-level utilisation rates, highlights idle capacity, and flags over-allocation risk where logged and committed hours exceed the member's configured workday availability. Capacity baselines are drawn from the Workday & Availability settings, so rates are always calculated against the correct working hours for each individual.

Yes. The Executive Summary report in Effigate can be enriched with AI-narrated sprint summaries from Dhyey, the built-in AI assistant. Dhyey analyses delivery data, sprint outcomes, and financial performance and generates a natural-language narrative alongside the quantitative KPIs. AI-generated content is clearly labelled in the report. The feature is opt-in per tenant and requires AI features to be enabled in tenant settings.

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