Assign tests to your employees where specific expertise and/or an extra set of hands is needed.
Blend in-house teams with the Testlio Network
Expand testing coverage by assembling bespoke, invitation-only, collective teams of in-house and freelance network testers. Combine your internal know-how with Testlio’s burstable, distributed capacity.
Test with the Testlio Network
Leverage the Testlio expert, freelance Network – thousands of vetted and experienced testers. Available to test on-demand. In any language. At any location. On any device.
Benefits of Collective Testing
The Testlio Teams module enables you to extend software test run participation to your employees – while relying upon Testlio’s best-in-industry network of 10K expert, managed, freelance testers.
Teams of testers support one another during pivotal test runs. Testing is a group event.
Limitless combinations of resources—all over the world—can be combined to perform key testing tasks exactly when needed.
Testing experiments can be executed to determine optimum people, devices, times, and other factors that maximize results.
Critical discoveries can be quickly retried, potentially on multiple device/OS combinations, to help with understanding and prioritization.
Multiple roles (including product managers, engineering managers, engagement managers, quality managers, testing managers, etc.) can rapidly define, build, and edit tests of various forms and types.
Testing coordinators can assemble invitation-only, distributed teams of in-house and freelance testers. Location, device-ownership, language skills, and other factors can be used to create collective testing teams.
Testing events, from simple smoke tests to massive regressions, can be created and coordinated by Services teams from Testlio and/or key members of client engineering and quality organizations.
Bugs, improvement ideas, and other forms of issues can be collaboratively authored, edited, commented, reviewed, categorized, and escalated.
Discovered issues can be rapidly assigned to other testers who follow reproduction protocols to unpack issue understanding, repeatability, and severity perspectives.