Parakeeto Vs. Project Management Tools: What’s The Real Solution?, With Kristen Kelly The Agency Profit podcast

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Parakeeto vs. Project Management Tools: What’s the Real Solution?, With Kristen Kelly

5d ago 42:39

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Points of Interest

00:00 – 01:30 – Introduction: Marcel welcomes Parakeeto’s Kristen Kelly back to discuss a recurring misconception in agency operations—the belief that a better project management or PSA tool can solve profit management challenges.
01:30 – 03:25 – The PM Tool “Silver Bullet” Myth: Kristen explains how leaders and PMs often adopt new tools to tame chaos, believing marketing promises that they’ll also solve utilization, capacity, and profitability issues.
03:25 – 06:00 – Why Agencies Fall for It: Marcel and Kristen note that while PM tools are valuable, they’re often oversold as full profit-management systems. Agencies end up frustrated by missing fields, tool quirks, and data limitations.
06:00 – 08:45 – Hitting the Wall: Many teams find themselves with tools that improve delivery workflows but still leave them unable to make key financial or operational decisions because the data remains fragmented across systems.
08:45 – 11:43 – Introducing the Framework → Data → Process Model: Marcel outlines Parakeeto’s three-part sequence for solving profit management: define the framework (metrics and formulas), structure the data, and establish ongoing processes for hygiene and cadence.
11:43 – 12:46 – Why Sequencing Matters: Without first defining what needs to be measured, agencies make poor configuration choices in PM tools—creating rework, confusion, and endless tool migrations.
12:46 – 15:19 – Defining the Framework: Agencies must precisely define how metrics like utilization, delivery margin, and project profitability are calculated, and understand the relationships between those measures before configuring tools.
15:19 – 19:54 – The Role of Process and Data Hygiene: Marcel explains that real-time reporting fails if data quality is poor. Clean, reliable reporting requires an ETL (Extract, Transform, Load) process, not direct reporting from source data.
19:54 – 22:55 – The Precision Trap: Kristen and Marcel explore the conflict between PMs needing granular precision and executives needing simple, high-level rollups. Forcing perfect data consistency across teams destroys usability and compliance.
22:55 – 26:28 – Practical Limits of In-Tool Reporting: Marcel describes how building detailed profitability reporting directly in PM tools creates unsustainable complexity, unrealistic data maintenance, and unreliable results.
26:28 – 34:38 – Building a Sustainable Data Architecture: They outline how Parakeeto’s ETL pipeline works—extracting time data (person, project, hours), joining it with payroll and project grids, normalizing fields, and applying ongoing QA to ensure accuracy.
34:38 – 42:37 – The Big Takeaway: Kristen and Marcel conclude that PM tools are essential for delivery but not the whole profit solution. Agencies should use them for managing work while relying on a clear framework and data pipeline for accurate reporting.

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