How We Rank Planning Agents

Our methodology is transparent and based entirely on public planning records. Here's exactly how we calculate agent rankings.

Data Source

All metrics are calculated from public planning application records submitted to Ireland's 31 local authorities. We aggregate applications from each council's online planning register and link them to planning agents (architects, planners, and design firms).

Data coverage: 488,000+ planning applications across all Irish councils, updated daily. Agent statistics use a 5-year rolling window to ensure metrics reflect current market conditions.

Visibility Criteria

Not all agents appear in our public rankings. To be listed, an agent must meet both of these criteria:

Agents who don't meet these criteria are excluded from public rankings but may still appear in application searches if you're looking up a specific project.

Metrics Explained

๐Ÿ“Š Success Rate

The percentage of applications that received planning permission (granted or granted with conditions), excluding withdrawn applications.

Success Rate = Granted Applications รท (Granted + Refused) ร— 100

๐Ÿ“ FI Rate (Further Information Rate)

The percentage of applications that received a Further Information (FI) request from the council. A lower rate suggests more complete initial submissions.

FI Rate = Applications with FI Request รท Total Applications ร— 100

โฑ๏ธ Average Processing Time

The mean number of days from application submission to decision. Factors include application complexity, council workload, and submission quality.

Avg Days = SUM(Decision Date - Received Date) รท Decided Applications

๐Ÿ“‹ Average Conditions

The average number of conditions attached to granted permissions. Fewer conditions may indicate cleaner approvals with fewer caveats.

Avg Conditions = Total Conditions on Granted Apps รท Number of Granted Apps

๐Ÿ”ข Volume (Applications)

Total number of applications submitted in the 5-year window. Higher volume indicates more experience but isn't a quality indicator on its own.

Quality Score

The Quality Score is a composite metric that combines multiple performance indicators into a single 0-100 score. It's designed to provide a quick assessment of overall performance.

Quality Score Formula

Quality Score = (Success Rate ร— 0.35) + ((100 - FI Rate) ร— 0.30) + (Processing Time Percentile ร— 0.20) + ((100 - Conditions Percentile) ร— 0.15)

Component Weights

Leaderboard Categories

Our leaderboards highlight top performers in specific areas. Each category focuses on a primary metric with a tiebreaker:

๐Ÿ† Most Experienced

Ranked by total applications (5yr). Tiebreaker: success rate.

โœ… Highest Success Rate

Ranked by grant rate. Tiebreaker: volume (more data = more reliable).

โšก Fastest Turnaround

Ranked by lowest average processing days. Tiebreaker: volume.

๐Ÿ“‹ Cleanest Submissions

Ranked by lowest FI rate. Tiebreaker: success rate.

๐ŸŽฏ Smoothest Approvals

Ranked by lowest average conditions. Tiebreaker: volume.

Why We Focus on Top Performers

You'll notice our public rankings only show top performers, not "worst" lists. This is intentional:

Individual agent profiles still show all their metrics โ€” we just don't create comparative "worst of" rankings.

Common Questions

Why can't I find a specific agent?
They may not meet our visibility criteria (20+ apps in 5 years, active within 2 years), or they may be listed under a different business name. Try searching for specific applications to find agent names as they appear in records.
Is a higher success rate always better?
Not necessarily. Some agents specialise in challenging projects (heritage sites, sensitive areas) where refusals are more common. A 100% success rate might indicate an agent who only takes safe, straightforward applications.
How often are metrics updated?
Agent statistics are recalculated daily based on the latest application data from all councils.
I'm an agent and my data is wrong. How do I fix it?
Contact us at corrections@planwatch.ie with details. Common issues include name variations (multiple trading names being counted separately) or council data entry errors.
Why 5 years? Why not longer?
Planning practices, regulations, and even agent competence can change significantly over time. A 5-year window captures enough data for meaningful statistics while ensuring metrics reflect current performance, not historical patterns from a decade ago.

Methodology last updated: January 2026

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