Understanding stakeholders is one of the main keys to maximizing the impact of UX research. That is why we have built three brand new, AI powered, workflows right into the Lookback product.
Interviews
Goals
Automatic surfacing of Findings
Stakeholder interviews
Research your stakeholders, just like you would your participants. Invite as many stakeholders as you'd like using the link to your project's Stakeholder interview room and start the interview from your dashboard.
Your stakeholders will go through a fully web-based and super simple onboarding - no accounts or training needed. Their experience will be similar to most commonly used video meeting tools.
The meeting is recorded and transcribed, etc, just like a normal Lookback research session.
If it is not possible to run your stakeholder meeting/interview using the Lookback Stakeholder interview room, you can always use another video meeting tool and upload the recording to Lookback using the "Upload Session" button.
Stakeholder Goals
Once you have finished a Stakeholder interview (or uploaded one) your Lookback AI-assistant Eureka will use it to generate a list of suggested Stakeholder Goals.
You can work with this list to finalize a list of relevant Goals for the research project by editing suggested goals, adding new ones manually, and removing the ones that are not accurate or relevant.
If some Goals are relevant in general but not to the project in question, you can always export them to CSV and keep them around for future projects. Since you can always create as many manual goals as you'd like, all goal functionality can be used independently of Stakeholder Interviews.
Automatically Suggested Findings based on Goals
Once research sessions start rolling in, Eureka will use Stakeholder Goals to create and surface related Findings. These are surfaced in your regular Findings view.
Findings created this way are always clearly marked as Eureka Suggested and associated with the Goal that made the AI suggest the Finding. This is to provide you with full transparency on what is AI and what is human generated, as well as with regards to why the AI did something.
We'd love your feedback!
Our extensive research into stakeholder-researcher collaboration shows that there are many different ways in which researchers handle stakeholders in research projects. We cannot (and do not want to) support every single method or workflow out there but we're always interested in hearing about them!
The Stakeholders feature described in this article takes a starting point in some of the core workflows that we see as smallest common denominator for healthy and impactful researcher-stakeholder collaboration but as we keep developing the feature we'll add support for more things. We'd appreciate if you'd like to be part of this journey by sharing your perspectives, concerns and feedback with us!
Finally, a word about fine-tuning the AI assistant. Our approach to this is to build transparent AI-support for already established UXR workflows, and to do this in a way that is quite "human in the loop"-heavy. We do not believe in "black box" processes spitting out ready to use insights. We believe in speeding up research work and letting you spend more time in your key human researcher strengths by providing you with AI-generated suggestions, starting points, navigational aids, etc. The manual work required to finalize AI-suggested things are by design. But this doesn't mean we always get the balance right. Please do let us know if you think Eureka can be more helpful and we'll try to make it so!