Use Case: Strategic Insight Generation

In the dynamic field of event marketing, success hinges on leveraging data-driven strategic insights to inform decision-making. Spark is designed to distill complex information into actionable guidance. Whether you're contending with volumes of feedback from the last conference or parsing trends for your next trade show, Spark transforms your data into strategic insights, aiding in event planning, risk management, and uncovering unexpected opportunities.


How to Use Spark for Strategic Insight Generation


To utilize Spark for generating strategic insights, follow these step-by-step instructions:

FieldIdeal InputImpact on Output
Input TypeText, Links, or FilesDetermines the data source for analysis.
Analysis TypeChoose from the listed options based on needTailors the output to focus on chosen strategic angles.


Input Type


1. Text Input

Simply enter or paste the text you wish to analyse.

FieldIdeal InputImpact on Output
Text InputA few paragraphs or bullet points summarizing key ideas, statistics, or announcementsSpark will analyze the text and create an engaging narrative analysis that highlights the main points


2. URL Input

Enter the URL of a blog post, article, or other content from where you want to get some insights.

FieldIdeal InputImpact on Output
URL InputA blog post or article linkSpark will analyse the content behind the URL and distill the key facts, statistics, and points into important insights.
URL InputVideo URL (We support only YouTube URL for video as of now. And we are in plan of making other formats available soon)Analyses video transcript to identify key points.


3. File Upload

Upload a document file such as a report, presentation, or other content you wish to repurpose into insights or to draw meaningful information.

FieldIdeal InputImpact on Output
File UploadPDFs, PPTs, Word doc, etcSpark will extract key points and statistics from the file gives key insights.
File UploadVideoAnalyses video transcript to identify key insights.
File UploadAudioAnalyses audio to identify key points for important insights.

Types of file formats spark supports - MP4, WEBM, QT, AAC, AC3, AIFF, FLAC, MP3, OGA, M4A, WAV, PDF, DOC, RTF, DOCX, CSV, TXT, XLS, XLSX

Spark will review the uploaded file and identify shareworthy excerpts, statistics, or facts to turn into an key insights.


Choose Analysis Type

Select the type of analysis you require from the following options:

  • Insights Overview: Summarize key findings and next steps
    • This section is designed to collate the primary findings from the data and present them in a summarized form. It is expected to provide a comprehensive look at the outcomes of the analysis while also charting a course for future actions based on these insights.
  • Key Takeaways: Concise report of most crucial points
    • Here, the focus is on distilling the essence of the findings into a short, impactful report. These takeaways are the most pivotal observations from the data, serving as the cornerstone of the information that stakeholders or decision-makers need to be aware of.
  • Thematic Insights: Cluster and categorize key insights
    • This step involves the organization of key insights into related groups or themes. By categorizing the information, it becomes easier to understand and communicate relationships and overarching patterns within the data.
  • Risk Assessment: Identify risks and outline mitigations
    • In this part of the process, risks that may emerge from the findings are identified. This proactive approach involves not only recognizing potential issues but also developing strategies to mitigate these risks, thereby preparing for any adverse outcomes in advance.
  • Reveal the Hidden: Uncover counterintuitive & unexpected insights
    • This underscores the importance of revealing insights that are not immediately obvious, often referred to as counterintuitive or unexpected findings. These insights can offer unique and valuable perspectives that may challenge preconceived notions or standard expectations.

After choosing the analysis type, click “Run Task”. Spark will start it’s job to generate the output.




Interacting with the Generated Output

Upon generation, you can delve into the insights Spark offers. You may realize a potential trend that needs further exploration or want to refine the scope. Here's how you can interact with the output:

  • Request Modifications: If the insights require adjustments, you can modify the inputs or settings and re-run the analysis.
  • Ask Follow-up Questions: Input specific queries such as "What are the primary concerns for attendees regarding digital event platforms?" to gain more targeted insights.
  • Adjust Tone or Detail: Provide input to Spark if a less technical explanation is needed, or more granular detail is desired.

Example Modification Requests:

  • "Can you provide a more detailed analysis of the feedback related to venue accessibility?"
  • "Identify the top 5 risks for our upcoming outdoor event."

Troubleshooting and FAQs


Troubleshooting Tips:

  • If Spark is not generating insights, check the format of your inputs.
  • Ensure the analysis type aligns with the information you're expecting to receive.
  • For incomplete reports, verify whether the input data is sufficient and comprehensive.


FAQs:

Q: What types of files can I upload?

A: Spark supports common file formats including .txt, .pdf, .docx, and spreadsheets.


Q: Can Spark handle qualitative data from open-ended survey questions?

A: Yes, Spark is equipped to process and analyze qualitative data for insights.


Q: Is Spark capable of real-time analysis during events?

A: Currently, Spark is designed to analyze post-event data for strategic insights.


For event marketing professionals, Spark offers a robust way to transform raw data into strategic insights that inform smart decisions. Through a variety of analysis types and detailed, customizable outputs, Spark is an indispensable tool for staying ahead in the fast-paced world of event management.