Estimate Software Delivery With Confidence | Info-Tech Research Group

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Estimation and planning practices set and reinforce the expectations of product delivery, which is a key driver of IT satisfaction.
However, today’s rapidly scaling and increasingly complex products and business needs create mounting pressure for teams to make accurate estimates with little knowledge of the problem or solution to it, risking poor-quality products.
Many organizations lack the critical foundations involved in making acceptable estimates in collaboration with the various perspectives and estimation stakeholders.

Our Advice

Critical Insight

Estimation reflects your culture and operating model. The accuracy of your estimates is dependent on the roles involved, which is not encouraged in traditional and top-down methodologies. Stakeholders must respect and support the team’s estimates.
Estimates support value delivery. IT satisfaction is driven by the delivery of valuable products and services. Estimates set the appropriate stakeholder expectations to ensure successful delivery and make the right decisions.
Estimates are more than just guesses. They are tools used to make critical business, product, and technical decisions and inform how to best utilize resources and funding.

Impact and Result

Establish the right expectations. Gain a grounded understanding of estimation value and limitations. Discuss estimation challenges to determine if poor practices and tactics are the root causes or symptoms.
Strengthen analysis and estimation practices. Obtain a thorough view of the product backlog item (PBI) through good analysis tactics. Incorporate multiple analysis and estimation tactics to verify and validate assumptions.
Incorporate estimates into your delivery lifecycle. Review and benchmark estimates, and update expectations as more is learned.

Estimate Software Delivery With Confidence Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to find out why you should optimize your estimation practice, review Info-Tech’s methodology, and understand the four ways we can support you in completing this project.

Estimate Software Delivery with Confidence – Executive Brief

1. Justify estimation optimization

Set the right stakeholder expectations for your delivery estimates and plans.

2. Commit to achievable delivery

Adopt the analysis, estimation, commitment, and communication tactics to successfully develop your delivery plan.

3. Mature your estimation practice

Build your estimation optimization roadmap.

About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

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Table of Contents

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Guided Implementation 1: Justify Estimation Optimization

Call 1: Discuss Info-Tech’s perspective and kick off this initiative.
Call 2: Review your expectations and current state.

Guided Implementation 2: Commit to Achievable Delivery

Call 1: Discuss estimation and planning good practices and their applications.
Call 2: Review your desired tactics and approaches.

Guided Implementation 3: Mature Your Estimation Practice

Call 1: Review your optimization roadmap.

Author

Andrew Kum-Seun

Contributors

Benjamin Palacio, Senior Information Systems Analyst, County of Placer
Wayne Helman, Founder and President, DigThisData
Jeremy Stark, Head of Solutions, ALM Works
Steve Tockey, Principal Consultant, Construx Software
5 anonymous contributors

Search Code: 92137
Last Revised: April 6, 2020

TAGS:

software estimation, delivery plan, software development lifecycle, SDLC, backlog management, intake management, expert estimation, parametric estimation, product delivery, product management, decision making, sprint plan, release plan, iteration, planning poker, t-shirt sizing

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