Mavenlink - Do you really need it?
February 29, 2016

Mavenlink - Do you really need it?

Jeffrey Butterick | TrustRadius Reviewer
Score 1 out of 10
Vetted Review
Verified User

Overall Satisfaction with Mavenlink

Mavenlink (ML) was used by a small consulting firm to log and track hours, by individual, to project milestones and deliverables. ML was far too robust a program for our needs and should not have been purchased, as alternative programs provide the necessary information for considerably less investment. The business problem of determining margin by project was achieved on less than 5% of all projects due to a lack of data input by employees. This is not a problem with the program but with internal commitment by employees.
  • Margin analysis for all projects in a single view.
  • Time logging to tasks and deliverables is quite good.
  • Allowing clients to participate with a selective and protected set of project views.
  • Importing a project plan from MS Project does not properly carry start and stop dates into ML, requiring manual adjustment for each task.
  • Hours by individual for a specified time period could only be properly done using an export into MS Excel to delete all entries outside of the required time period.
  • Some on-line chat representatives were exceptional, yet several gave incorrect information that required further time for correction.
  • ROI was unfortunately negative due to high multi-year contract cost relative to amount of data input, hence it's use, and resulting productivity.
ML was selected for it's multiple project review and margin display. Many other programs offer similar reviews that are far more cost effective for a small firm.
Mavenlink is not appropriate for small companies that can use an alternative program to achieve their goals.

Kantata Cloud Feature Ratings

Mavenlink Implementation

Demand proper documentation and not just some marketing videos.
Change management was minimal
  • Inability to properly transfer MS Project plans into ML that would maintain all start and finish dates.
  • Lack of consistent information provided by ML chat representatives.
  • Lack of a readable document to review during set up or when training new employees.