AIoT smart baby camera

@ Compal Electronics

AIoT smart baby camera

@ Compal Electronics

AIoT smart baby camera

@ Compal Electronics

Thailand User field trial

Thailand User field trial

Thailand User field trial

Background

Background

The product team is planning to enter the Thai market and is conducting preliminary research to understand the habits of Thai parents in using smart monitors.

Goal

Goal

Exploratory research

To gain a deep understanding of the usage scenarios for baby cameras in Thailand.

Feature validation

To assess the suitability of existing product features for the Thai market.

Research method

Research method

Qualitative

Qualitative

Diary study

Quantitative 

Quantitative 

Thematic Questionnaire for validated feature

Kano model - Customer requirement classification

Diary study plan

Diary study plan

Kano model

Kano model

Respondent criteria

Respondent criteria

Baby age: 0-3Y for Product 1.0, 0-6Y up for Product 2.0

Interested in IP cam which expected to be used in monitoring baby

Parts of Screener questionnaire

Parts of Screener questionnaire

Product 1.0 participants

Product 1.0 participants

Product 2.0 participants

Product 2.0 participants

Diary exploratory

Diary exploratory

Through diary interviews and follow-up messages, we made several new discoveries:

About Monitor baby:

About Monitor baby:

Parents use the product during the day while working to watch the baby.

They use it to watch other family members take care of the baby.

They use it when they are temporarily out of sight of the baby.

They appreciate natural shooting angles.

They appreciate natural shooting angles.

Record the real interaction with Child

"The baby wants to reach for the mother's phone to play with it. Babies like things that can be controlled remotely by phone. As soon as they hold it in their hands, they come over."

Privacy problem is still the root cause that customer refuse to use no matter which country

Privacy problem is still the root cause that customer refuse to use no matter which country

Feature validation

Feature validation

The team's original marketing strategy was validated to determine whether the features that were expected to be promoted were performing as expected, and to understand which features the Thai market recommends as being helpful for sales.

Impressed by Smart music box feature

Impressed by Smart music box feature

The feature can Shift baby's’ attention and soothing them, most users consider that Smart soothing was the most amazing feature and practical.

“Play music for my child to listen, increase level of familiarity to my child.“

"Play music to get my child sleep"

"My child screams out loudly as he wants to get out from his space on partitions. His aunt does not pay attention to him but Pixsee does. Pixsee helps taking care of my child with music playing getting an attention from my child, turn to look, and stop crying.”

“Play music for my child to listen, increase level of familiarity to my child.“

"Play music to get my child sleep"

"My child screams out loudly as he wants to get out from his space on partitions. His aunt does not pay attention to him but Pixsee does. Pixsee helps taking care of my child with music playing getting an attention from my child, turn to look, and stop crying.”

Impressed Night mode especially whose kids under 1 year

Impressed Night mode especially whose kids under 1 year

Image is clear and sharp even when the lights are off

Kano model feature classification

Kano model feature classification

The team used the Kano model to classify the features of the baby camera based on their importance to Thai parents. This will help the marketing team prioritize the development and marketing of the product's features.

Impact & Lesson learning

Impact & Lesson learning

Through this field study, the team learned the following:

Through this field study, the team learned the following:

Different cultures have different preferences for features.
This information can be used by the marketing team to develop business strategies tailored to the Thai market.

Identified "feature problems" that were still hidden in the actual use of the product.
These problems were reported to the RD team in a timely manner so that they could be fixed before the product was launched.

The team used AI for the first time to support research framework, interview outline, and communication and translation with Thai respondents.

Recommendations for Improvement:

Recommendations for Improvement:

During the process, the team focused mainly on verifying usability. It’s needs to clearly define the "research purpose" and clearly allocate the expected proportion between "validation" and "exploration".

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