Aha! delivers on the promise of product roadmapping in agile software product management
July 07, 2020

Aha! delivers on the promise of product roadmapping in agile software product management

Benjamin M Berry | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Aha!

We use it as the basis of our agile software development practice in conjunction with Rally and Github. It is used by the entire organization with various levels of complexity. It addresses the business problems of tracking upcoming and current work, as it is shared across multiple teams in the organization.
  • Work breakdown - it allows teams to do initiatives, capabilities features and stories all in the same product release.
  • Roadmapping - allows for simple combined visual plan of work breakdown across multiple initiatives.
  • Customization - allows different levels of work breakdowns to be available on different projects.
  • Integration with Rally and other tools.
  • Complexity of integration - each implementation of an integration with Rally has to be manually created.
  • Complexity of configuration - each project that has a customization has to be done independently.
  • Cost per license is too high for contributors.
  • It has drastically improved our agile practice.
The internal support we get is compounded with contractual external support from the provider. Most of the support we experience day to day is from our internal teams.

Do you think Aha! Roadmaps delivers good value for the price?

Yes

Are you happy with Aha! Roadmaps's feature set?

Yes

Did Aha! Roadmaps live up to sales and marketing promises?

Yes

Did implementation of Aha! Roadmaps go as expected?

Yes

Would you buy Aha! Roadmaps again?

Yes

Rally Software (formerly CA Agile Central)
Aha! is well suited for large distributed teams with a substantial amount of requirements and different projects. It is also well suited for small teams that have a lot of divergent efforts. It is not well suited for creating a unified backlog from multiple large divergent products because it cannot well demonstrate the difference.