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Intro

Aha! is roadmap software that helps you manage your product releases, ideas, integrations, features, and more. Use Domo’s Aha! connector to retrieve your Aha! data in Domo, and build better and faster products. Once your Aha! data is in Domo, you can give managers, stakeholders, and team members transparency with real-time, interactive dashboards. Combine your Aha! data with data from Marketing, Development, Project Management, CRM, and more to see the big product picture. Set up alerts to be notified of changes in your key data points. And you can access all your data in real time, from any device. To learn more about the Aha! API, visit their page https://www.aha.io/api. You connect to your Aha! account in the Data Center. This topic discusses the fields and menus that are specific to the Aha! connector user interface. General information for adding DataSets, setting update schedules, and editing DataSet information is discussed in Adding a DataSet Using a Data Connector.

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Prerequisites

To connect to your Aha! account and create a DataSet, you must have the following:
  • Your Aha! API key.
  • The domain of your Aha! instance. Example: If your instance is located at https://domo.aha.io/, you would enter domo here.

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Connecting to Your Aha! Account

This section enumerates the options in the Credentials and Details panes in the Aha! Connector page. The components of the other panes in this page, Scheduling and Name & Describe Your DataSet, are universal across most connector types and are discussed in greater length in Adding a DataSet Using a Data Connector.

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Credentials Pane

This pane contains fields for entering credentials to connect to your Aha! account. The following table describes what is needed for each field:

Field

Description

API Key Enter your Aha! api key.
Domain Enter the domain of your Aha! instance. Example: If your instance is located at https://domo.aha.io/ , you would enter domo here.
Once you have entered valid Aha! credentials, you can use the same account any time you go to create a new Aha! DataSet. You can manage Connector accounts in the Accounts tab in the Data Center. For more information about this tab, see Managing User Accounts for Connectors.

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Details Pane

This pane contains a primary Reports menu, along with various other menus which may or may not appear depending on the report type you select.

Menu

Description

Report

Select the Aha! report you want to run. The following reports are available:

All Features Retrieve all features.
All Ideas Retrieve all ideas.
All Initiatives Retrieve all initiatives.
All Master Features Retrieve all master features.
All Products Retrieve all account products.
All Releases Retrieve all releases.
All Tasks Retrieve all tasks.
All Users Retrieve all users.
Feature Comments Retrieve all feature comments.
Feature Tasks Retrieve all feature tasks.
Goal Comments Retrieve all goal comments.
Initiative Comments Retrieve all initiative comments.
Master Feature Features Retrieve all master feature features.
Product Comments Retrieve all Product Comments.
Product Competitors Retrieve all product competitors.
Product Features Retrieve all product features.
Product Goals Retrieve all product goals.
Product Idea Categories Retrieve all product idea categories.
Product Ideas Retrieve all product ideas.
Product Initiatives Retrieve all product initiatives.
Product Integrations Retrieve all product integrations.
Product Master Features Retrieve all product master features.
Product Pages Retrieve all product pages.
Product Personas Retrieve all product personas.
Product Releases Retrieve all product releases.
Release Features Retrieve all release features.
Release Master Features Retrieve all release master features.
Release Phases Retrieve all release phases.
Release Tasks Retrieve all release tasks.
Sub Report Select the sub report you would like to be included.
Fields If you would like to specify the returned fields, enter a comma separated list of the fields here. Domo will attempt to retrieve all fields from Aha!, if nothing is entered. Example: field1,field2,field3
Sublist to Flatten Select the field that you would like to flatten. This will cause multiple rows to show each object in the selected field. You will not be able to flatten any list, if “None” is selected.

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Other Panes

For information about the remaining sections of the Connector interface, including how to configure scheduling, retry, and update options, see Adding a DataSet Using a Data Connector.

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FAQs

This connector uses v1 of the Aha! API (https://{company}. aha.io/api/v1/ ).
Report Name Endpoint URL(s)
All Features /features
All Ideas /ideas
All Initiatives /initiatives
All Master Features /master_features
All Products /products
All Releases /products//releases
All Tasks /tasks
All Users /users
Feature Comments /features//comments
Feature Tasks /features//tasks
Goal Comments /goals//comments
Initiative Comments /initiatives//comments
Master Feature Features /master_features//features
Product Comments /products//comments
Product Competitors /products//competitors
Product Features /products//features
Product Goals /products//goals
Product Idea Categories /products//ideas_categories
Product Ideas /products//ideas
Product Initiatives /products//initiatives
Product Integrations /products//integrations
Product Master Features /products//master_features
Product Pages /products//pages
Product Personas /products//personas
Product Releases /products//releases
Release Features /releases//features
Release Master Features /releases//master_features
Release Phases /releases//release_phases
Release Tasks /releases//release_tasks
You need your Aha! API key and domain of your Aha! instance. For example, if your instance is located at “https://domo.aha.io/,” you would enter “domo” here.
Yes
As often as needed.
No

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Troubleshooting

  • Make sure your authentication remains valid.
  • Review the configuration to make sure that all required items have been selected.
  • Review the Connector history for error messages.
  • In rare cases, you may be requesting too much information and reaching API limitations or timeouts. If this is the case, you can review the history of the Connector run to see the error message and duration. If this is the case, you can reduce the number of accounts that are being pulled, choose a smaller number of metrics for the report that you are pulling, or reduce the timeframe that you are trying to pull.