Zapier Case Studies AI Company Streamlines Research Studies with Typeform and Zapier

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	AI Company Streamlines Research Studies with Typeform and Zapier Zapier

AI Company Streamlines Research Studies with Typeform and Zapier

Zapier

Technology Category	Analytics & Modeling - Machine Learning
Applicable Functions	Product Research & Development
Use Cases	Time Sensitive Networking
Challenge	The AI company, x.ai, was facing a significant challenge in managing the scheduling of meetings and appointments. The process was time-consuming and involved a lot of back and forth emails to coordinate schedules. The company had developed an AI, Amy, to help manage schedules, but the process of recruiting participants for user research was still laborious. The team would send out an email blast with a Google Form attached and then sift through the responses to find people who met specific criteria. Once identified, they would reach out to set a time for an interview or observation. This middle step of sifting through responses was costing the x.ai staff essential time. Read More
About Customer	The customer in this case study is x.ai, an artificial intelligence company that has developed an AI, Amy, to help manage schedules. The company was spending a significant amount of time on the process of recruiting participants for user research, which involved sending out email blasts with a Google Form attached and then sifting through the responses to find people who met specific criteria. Once identified, they would reach out to set a time for an interview or observation. This process was time-consuming and was costing the x.ai staff essential time. Read More
Solution	The solution to x.ai's challenge came in the form of Typeform and Zapier. Raquel Ledezma-Haight, Associate Product Manager at x.ai, discovered these tools while searching for solutions to automate emails from Typeform submissions. She switched over to Typeform, which allowed x.ai to brand the questionnaire. Now, when responses come in, the search for qualified users is automated. Raquel built a Zap, a bridge between two or more apps, to search for a specific answer to one question. If the customer answered affirmatively, an email would automatically be sent to the customer, with Amy CCed to set up the interview. Additionally, Raquel crafted another Zap to send Slack notifications for new meetings, keeping the x.ai team in the loop about how many interviews were scheduled and who they were with. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Applicable Functions

Product Research & Development

Use Cases

Time Sensitive Networking

Challenge

The AI company, x.ai, was facing a significant challenge in managing the scheduling of meetings and appointments. The process was time-consuming and involved a lot of back and forth emails to coordinate schedules. The company had developed an AI, Amy, to help manage schedules, but the process of recruiting participants for user research was still laborious. The team would send out an email blast with a Google Form attached and then sift through the responses to find people who met specific criteria. Once identified, they would reach out to set a time for an interview or observation. This middle step of sifting through responses was costing the x.ai staff essential time.

About Customer

The customer in this case study is x.ai, an artificial intelligence company that has developed an AI, Amy, to help manage schedules. The company was spending a significant amount of time on the process of recruiting participants for user research, which involved sending out email blasts with a Google Form attached and then sifting through the responses to find people who met specific criteria. Once identified, they would reach out to set a time for an interview or observation. This process was time-consuming and was costing the x.ai staff essential time.

Solution

The solution to x.ai's challenge came in the form of Typeform and Zapier. Raquel Ledezma-Haight, Associate Product Manager at x.ai, discovered these tools while searching for solutions to automate emails from Typeform submissions. She switched over to Typeform, which allowed x.ai to brand the questionnaire. Now, when responses come in, the search for qualified users is automated. Raquel built a Zap, a bridge between two or more apps, to search for a specific answer to one question. If the customer answered affirmatively, an email would automatically be sent to the customer, with Amy CCed to set up the interview. Additionally, Raquel crafted another Zap to send Slack notifications for new meetings, keeping the x.ai team in the loop about how many interviews were scheduled and who they were with.

Impact #1	The operational results of implementing Typeform and Zapier have been significant for x.ai. The company has been able to remove most of the previous steps of user research recruiting, saving them a considerable amount of time. The automation of the process has also allowed the team to focus more on building new features and running studies, which in turn helps them deliver a better product to their customers. The use of Slack notifications has also helped the team monitor how many people they've scheduled, preventing them from being inundated by appointments.

Impact #1

The operational results of implementing Typeform and Zapier have been significant for x.ai. The company has been able to remove most of the previous steps of user research recruiting, saving them a considerable amount of time. The automation of the process has also allowed the team to focus more on building new features and running studies, which in turn helps them deliver a better product to their customers. The use of Slack notifications has also helped the team monitor how many people they've scheduled, preventing them from being inundated by appointments.

Benefit #1	Significant reduction in time spent on recruiting participants for user research
Benefit #2	Automation of the process of searching for qualified users
Benefit #3	Immediate scheduling of interviews upon receipt of affirmative responses

Benefit #1

Significant reduction in time spent on recruiting participants for user research

Benefit #2

Automation of the process of searching for qualified users

Benefit #3

Immediate scheduling of interviews upon receipt of affirmative responses

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Overview

AI Company Streamlines Research Studies with Typeform and Zapier

Operational Impact

Quantitative Benefit