Quickstart

Last Updated: 2025-03-03

Introduction

Get started with the world's largest database and most powerful tools for impact forecasting. This quickstart guide will walk you through exploring Koi's climate solution data, building forecasts, and organizing them into collections—whether for product types, markets, investment portfolios, or even portfolios of portfolios. Let's dive in.

  1. Set Up a Collection: Koi Collections act as folders for organizing and grouping different analyses. Use the toolbar to navigate to Collections > Create New Collection with a name and description. Collections may represent any grouping of interest to the Koi user, such as technology type, market application, or investment portfolio.
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Example collection created to explore animal-free meats.

  1. Explore Koi's Data: Navigate to the Search section and explore Koi's datasets. Try searching keywords and even URLs of company websites. Notice the tags under each climate solution name that indicate the availability of associated data.
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Example search results for climate solutions that have associated baseline GHG intensity data.


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Example search results that have additional data available including solution GHG intensity and market size.

  1. Save Climate Solutions: Begin loading and visualizing climate solution pages.

    When you identify a climate solution you want to return to later, use the right hand buttons to save it either as a Bookmark or as an item within your Collection. You may adjust parameters such as the timespan and functional unit before saving, and your selections will be retained when accessed later.

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Climate solution being added to a collection via the *Add to Collection* button (upper right corner).


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Climate solution being saved as a bookmark within a new folder via the *Bookmark* button (upper right corner)

  1. Explore your collection: Access a summary of your collection models and view the aggregated data by navigating through the various collection tabs, starting with the Executive Summary. Climate solutions within a collection can be added, removed or modified.
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Executive summary view of a collection.

  1. Modify models and refine your collection: With Koi, the pond is yours to navigate—whether you're taking a casual swim with the pre-built models or diving deep to refine every detail.

    Customize climate solutions to develop complete models that appropriately represent your system. The level of effort you invest will determine how tailored your results are to your specific needs. Some find that the complete pre-built models are enough for their purposes, while others choose to put in more work to fine-tune and customize their models.

    Below are some example workflows for model refinement using Koi data.

Workflow Example 1

Include additional GHG intensities for comparison in a climate solution model.

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Download CSV baseline data from one climate solution.

Use the Customize Forecast feature to clone and edit an existing climate solution model. The custom model will inherit all of the existing model data and the user will supplement with the additional data scraped from the above CSV.

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Create a new **Solution Scenario** for the GHG intensity studied in the separate dataset.

Workflow Example 2

How to fill in a data gap to enable collection-level viewing of model results.

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Collection shows that one of the climate solutions (here it is Cultured Meat Production) can't compute the total avoided emissions because the market data are missing.


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Use the *Custom Forecast* functionality to add market data from the market data in a complete model (Fermentation-Based Protein-Rich Meat Alternatives here). Select the blue button to create a new available market.


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In this example, bovine meat market data is added to the *Cultured Meat Production* model from the *Fermentation-Based Protein-Rich Meat Alternatives* model.