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Thanks to UserGuiding’s product-market fit surveys, Straico obtained valuable insights into customer happiness and saw opportunities for improvement.
To obtain such information, they needed only to set up an in-app survey targeting lifetime users, asking how they would feel if Straico was no longer available.
The answers section included the options below:
Upon gauging users’ dependency on their product, they saw that 52% of respondents indicated they couldn't imagine their workflow without Straico—a very promising percentage for product-market fit.
To create a continuous communication loop between users and them, Straico adopted a transparent approach with announcement modals.
Utilizing UserGuiding’s announcement modals, Straico contacted users directly to inform them about what was going on.
Sometimes, it was about outages from AI providers; sometimes, it was about promotions.
They got most of the output by employing this feature to notify users and boost new feature adoption as they launched a new feature.
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Not letting one single user slip by, Straico employed UserGuiding’s interactive guides to help users understand and utilize every feature they offer.
Creating step-by-step guides that benefited from different UX elements and patterns helped Straico get users familiar with the platform's functionality.
That’s why Straico opted to build an introductory guide that helped new users onboard by explaining how to utilize the platform and how it was different from other solutions in the market.
Later, they made this guide non-skippable and ensured every new user had a great user experience, thanks to progress indicators and highlights.
Straico faced the challenge of having various AI models on its platform: user frustration.
As each AI model had different attributes, users had to either have background knowledge on the matter or be taught.
For the latter, Straico created an in-app resource center using UserGuiding and facilitated the learning process by providing special sections with the pros and cons of each model.
Thanks to these sections, users were able to find information on the models and make more precise decisions before running prompts.
With the help of UserGuiding’s product changelog feature, Straico built a solid foundation for effectively communicating any changes to its product.
Straico displayed newly rolled-out features and updates on the updates page, what was changed or fixed, and new AI models that were added.
Upon reading about the latest releases, users could leave feedback in the form of emojis and text, which helped Straico measure the impact of the updates one by one.
This feature helped them increase visibility and promote each new feature or update organically.
Committed to bootstrapping the early stages of their company until they achieve Product-Market Fit, Straico utilized UserGuiding to directly interact, listen, and monitor their users.
This strategy enabled them to avoid carrying out the growth metrics set by venture capitalists and focus on engaging with their users as a whole community.
Gaining invaluable insights into how users engage with their platform, what features they frequently use, and what areas need improvement, Straico was able to analyze user behaviour and find their product-market fit.
In numbers, Straico found out that 52% of their users were content with the service they were getting, and their workflow would be disrupted if it was no longer available.
As the generative AI landscape is highly competitive, making a unique value proposition was essential for Straico; during this journey, UserGuiding was instrumental to help them understand user behavior and effectively communicate through in-app guides, dialogs, and more.
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I check user insights almost every day to analyze user behavior, which is especially important for retaining new users. Seeing a disengaged new user’s actions after signing up enables me to target them effectively.”