GoodDay vs IBM Targetprocess Comparison

Why choose GoodDay

• Has a free plan (IBM Targetprocess does not)
• Higher Cost score (9/10 vs 4/10)
• Higher Ease of Use score (7/10 vs 5/10)
• Better fit for small business (8/10 vs 3/10)
• Better fit for startups (8/10 vs 3/10)

Why choose IBM Targetprocess

• Higher Scalability score (9/10 vs 6/10)
• Higher Customization score (9/10 vs 8/10)
• Better fit for enterprise (9/10 vs 5/10)

GoodDay

Pros

• The free plan allows up to 15 members with unlimited projects, which is generous for small teams.
• Paid plans are inexpensive: Professional costs $4 per user per month on annual billing.
• Projects can be nested without limit and the Action Required view shows who owns the next step, which reviewers praise for accountability.
• The Business plan bundles resource management, finance, CRM and a customer portal, so teams may need fewer separate tools.
• There are native apps for web, iOS, Android, Windows, macOS and Linux.

Cons

• Reviewers often criticize customer support, and one directory lists it as email only.
• Users report a limited mobile app, weak search and an unreliable bulk task uploader.
• The vendor is small, about 20 to 30 employees, which may worry large enterprise buyers.
• Two-factor authentication is only on Business and above, and SAML SSO only on Enterprise.
• There are fewer native integrations than with larger rivals, so many connections depend on Zapier.

IBM Targetprocess

Pros

• Highly configurable boards, workflows and views, which reviewers repeatedly credit as its main strength.
• Connects team-level work to strategic objectives and investment decisions, which most task-focused project tools cannot do.
• Supports Scrum, Kanban, SAFe and traditional methods side by side, which helps organisations in transition.
• Works as a portfolio layer over Jira and Azure DevOps, so delivery teams can keep their existing tools.
• Analyst recognition, including a Strong Performer rating in The Forrester Wave for Strategic Portfolio Management Tools, Q2 2026.

Cons

• Reviewers report a steep learning curve and difficult initial setup and navigation.
• No public pricing, and comparison articles say it is costly for small teams.
• Forecasting and burndown accuracy depend on heavy, disciplined data entry.
• Some users report limited integrations beyond the core tools, and say moving or exporting data takes manual effort.