Create a Report by Uploading a Custom Dataset
4 mins read - Created on Feb 19, 2025At Kimola, we understand your passion for data and strive to make customer feedback analysis a smooth experience for marketing, research, and customer experience (CX) professionals like you. In this guide, we’ll walk you through how to seamlessly analyze feedback by uploading your own custom datasets. Let’s dive in and transform your data into impactful insights!
Whether you’re dealing with survey results, call-center conversations, or social media discussions, you can easily upload your own dataset to Kimola for in-depth analysis. Follow these simple steps to get started:
Step 1: Upload Custom Dataset
To begin, navigate to the Kimola dashboard. You can start uploading your dataset by clicking the cloud icon on the homepage or simply dragging and dropping your spreadsheet into the designated upload area. Alternatively, the same steps can be followed by clicking the "Create New Report " button located in the upper right corner of the Report page.
Tips for Preparing Your Dataset:
Prepare your dataset in a spreadsheet format, using either Excel or CSV files. This format is required for uploading and ensures compatibility with the analysis tool. Here are a few additional tips to help you get the most out of your dataset:
1- Include a header row – Every dataset should begin with a header row to label each column. This is essential for accurate and meaningful analysis.
2- Add a column for dates (optional) – Including dates allows you to filter reviews over time and analyze trends, helping you uncover patterns or shifts.
3- Include a URL column (optional) – Adding URLs lets you click directly from the analysis dashboard to the original public review, making it easier to reference source material.
4- Use additional columns for filtering – Any extra columns (e.g., product type, region, location) will become filter options in the dashboard. You can include as many as needed to segment your data effectively.
Custom Dataset Format
Step 2: Select Relevant Columns
Identify and select the columns pertinent to reviews, URLs, and dates as required by your analysis.
Step 3: Explore Interpretations
Once your dataset is loaded and the columns are selected, go to the interpretation section. Here, Kimola offers a variety of interpreters to help you get a comprehensive view of your customer feedback. In Kimola, these interpreters are grouped into 3 groups: Customer Experience, Product, and E-commerce. You can choose from these interpreters according to the data being analyzed. If you wish, you can browse all interpreters from the All menu and use the ones that suit your needs at the credit rate you have. You can skip this step if you wish.
When you select an interpretation, a tab called "My List" will appear on the left, where you can see all the interpretations you have selected.
Don’t forget that each account starts with 5 GPT credits during the trial period—make sure to use them wisely for optimal insights!
Now that you’re almost done with creating your report, follow these final steps to wrap it up:
Step 4: Name Your Report
Create a meaningful name for easy reference.
Step 5: Utilize Multi-label Classification
If your subscription plan provides multi-label classification, ensure the toggle is on to benefit from this feature.
Step 6: Choose Output Language
Select the language in which you’d like your report results to be presented.
Step 7: Create Your Report
‘Create’ to initiate the data analysis process. Watch your dataset transform into strategic insights!
With Kimola, you have the power at your fingertips to convert customer feedback into actionable strategies. We can’t wait to see the incredible insights you’ll uncover. Happy analyzing!
