79% of Sales Organizations Face 'Difficulty in Data Utilization'. STRIX Officially Releases 'Conversational Dashboard' Function to Shift Sales Floor Decision-Making from Intuition to Fact-Based
MEDIUM Inc. has officially launched its 'Conversational Dashboard' in April 2026, a new feature designed to help sales organizations overcome data utilization challenges. This AI-powered tool analyzes sales logs and provides evidence-based answers to natural language queries, enabling fact-based decision-making.
📋 Article Processing Timeline
- 📰 Published: May 11, 2026 at 19:22
- 🔍 Collected: May 11, 2026 at 10:31
- 🤖 AI Analyzed: May 12, 2026 at 08:49 (22h 17m after Collected)
MEDIUM Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Shotaro Seki; hereinafter "MEDIUM"), a leader in sales strategy DX, officially launched its new 'Conversational Dashboard' feature in April 2026. This feature allows users to ask natural language questions about aggregated values on the dashboard, and an autonomous AI agent will delve into sales negotiation logs to provide evidence-backed answers.
"We aimed to create a world where data can be easily retrieved and everyone can refer to data for sales decision-making without burden, in response to sales organizations struggling with 'reliance on intuition and personal experience' and 'inability to make evidence-based sales decisions.' This led us to release the 'Conversational Dashboard' function."
■ The numbers are visible. Yet, sales still operate on intuition.
The Japanese sales scene is gradually reaching a state where data is "possessed." A HubSpot Japan survey shows that CRM adoption has reached 37.2% (Source: HubSpot Japan "Japan Sales Awareness and Reality Survey 2025" *1), and including SFA and BI, many organizations now have some form of visualization infrastructure.
Nevertheless, the same survey indicates that only 44.5% of organizations prioritize data in sales activities, while 55.5% still rely on intuition (Source: HubSpot Japan "Japan Sales Awareness and Reality Survey 2024" *2).
79% of sales organizations face "difficulties in data utilization," caused by three factors: human resources, management, and collaboration.
Why can't sales organizations break free from "intuition-based sales"? According to the same survey, 79% of sales organizations reported "difficulties in data utilization" (*2), with the breakdown being a lack of data utilization personnel (28.6%), inadequate data management within the sales department (28.1%), and undeveloped inter-departmental data linkage (24.4%).
Furthermore, responses continued with sentiments like "no awareness of data utilization" and "can't visualize data utilization."
Just looking at the numbers on a dashboard doesn't reveal the raw situation of "what's happening" on the sales floor.
It's difficult to grasp the raw situation of what's happening on the sales floor just by looking at the numbers displayed on a dashboard.
The dashboard might show "30 highly promising deals," but what a manager needs next is the breakdown.
"Who exactly are these 30 deals?"
"Why were they judged as highly promising?"
"What's the next step to take?"
With current BI tools, to answer these questions, managers end up opening SFA for each deal and reading through sales negotiation memos one by one.
In response to this situation, we aimed to create a world where data can be easily retrieved in daily sales operations and everyone can refer to data for sales decision-making without burden, which led us to release the 'Conversational Dashboard' function.
■ STRIX's 'Conversational Dashboard' function: AI agents explore and interpret the entire log of conversations, seamlessly converting quantitative to qualitative data.
With STRIX's dashboard, when you ask natural language questions about the displayed aggregated values, an autonomous AI agent delves into the underlying sales negotiation logs and provides evidence-backed answers.
It can respond to questions that BI tools previously couldn't answer, such as "Who are the 30 highly promising deals?", "Which deals are stalled?", or "Where are the signs of loss risk?", by going down to the primary information.
1. Deep dive into your own dashboard directly via chat.
By simply asking questions in chat about the aggregated values on STRIX's dashboard (e.g., deal certainty, pipeline, sales stage distribution), you can trace back to the breakdown of constituent deals and the context of individual deals. No engineering effort is required to design new views in BI.
2. Seamlessly trace from aggregated values to primary information.
From "Show me the 30 highly promising deals" to "What are the loss risks for the 5 stalled deals?" and even "Summarize the customer's remarks in the relevant negotiation," it provides answers across three layers: company, transaction, and sales log.
This eliminates the hassle of switching between BI and sales log screens, providing the basis for decision-making all on one screen.
3. Reconfigure necessary data from necessary perspectives on the spot.
You can reconfigure aggregations from any perspective, such as person in charge, period, industry, amount range, or decision phase, directly from chat. This eliminates the lead time previously incurred by requests to BI administrators or analysts, allowing business users to get answers instantly.
4. Queries become organizational knowledge.
Chat history is accumulated in a reusable format as cross-organizational sales knowledge. Insights that tend to be person-dependent, such as "signs of stagnation," "winning patterns," and "root causes of loss," remain as organizational assets.
"We aimed to create a world where data can be easily retrieved and everyone can refer to data for sales decision-making without burden, in response to sales organizations struggling with 'reliance on intuition and personal experience' and 'inability to make evidence-based sales decisions.' This led us to release the 'Conversational Dashboard' function."
■ The numbers are visible. Yet, sales still operate on intuition.
The Japanese sales scene is gradually reaching a state where data is "possessed." A HubSpot Japan survey shows that CRM adoption has reached 37.2% (Source: HubSpot Japan "Japan Sales Awareness and Reality Survey 2025" *1), and including SFA and BI, many organizations now have some form of visualization infrastructure.
Nevertheless, the same survey indicates that only 44.5% of organizations prioritize data in sales activities, while 55.5% still rely on intuition (Source: HubSpot Japan "Japan Sales Awareness and Reality Survey 2024" *2).
79% of sales organizations face "difficulties in data utilization," caused by three factors: human resources, management, and collaboration.
Why can't sales organizations break free from "intuition-based sales"? According to the same survey, 79% of sales organizations reported "difficulties in data utilization" (*2), with the breakdown being a lack of data utilization personnel (28.6%), inadequate data management within the sales department (28.1%), and undeveloped inter-departmental data linkage (24.4%).
Furthermore, responses continued with sentiments like "no awareness of data utilization" and "can't visualize data utilization."
Just looking at the numbers on a dashboard doesn't reveal the raw situation of "what's happening" on the sales floor.
It's difficult to grasp the raw situation of what's happening on the sales floor just by looking at the numbers displayed on a dashboard.
The dashboard might show "30 highly promising deals," but what a manager needs next is the breakdown.
"Who exactly are these 30 deals?"
"Why were they judged as highly promising?"
"What's the next step to take?"
With current BI tools, to answer these questions, managers end up opening SFA for each deal and reading through sales negotiation memos one by one.
In response to this situation, we aimed to create a world where data can be easily retrieved in daily sales operations and everyone can refer to data for sales decision-making without burden, which led us to release the 'Conversational Dashboard' function.
■ STRIX's 'Conversational Dashboard' function: AI agents explore and interpret the entire log of conversations, seamlessly converting quantitative to qualitative data.
With STRIX's dashboard, when you ask natural language questions about the displayed aggregated values, an autonomous AI agent delves into the underlying sales negotiation logs and provides evidence-backed answers.
It can respond to questions that BI tools previously couldn't answer, such as "Who are the 30 highly promising deals?", "Which deals are stalled?", or "Where are the signs of loss risk?", by going down to the primary information.
1. Deep dive into your own dashboard directly via chat.
By simply asking questions in chat about the aggregated values on STRIX's dashboard (e.g., deal certainty, pipeline, sales stage distribution), you can trace back to the breakdown of constituent deals and the context of individual deals. No engineering effort is required to design new views in BI.
2. Seamlessly trace from aggregated values to primary information.
From "Show me the 30 highly promising deals" to "What are the loss risks for the 5 stalled deals?" and even "Summarize the customer's remarks in the relevant negotiation," it provides answers across three layers: company, transaction, and sales log.
This eliminates the hassle of switching between BI and sales log screens, providing the basis for decision-making all on one screen.
3. Reconfigure necessary data from necessary perspectives on the spot.
You can reconfigure aggregations from any perspective, such as person in charge, period, industry, amount range, or decision phase, directly from chat. This eliminates the lead time previously incurred by requests to BI administrators or analysts, allowing business users to get answers instantly.
4. Queries become organizational knowledge.
Chat history is accumulated in a reusable format as cross-organizational sales knowledge. Insights that tend to be person-dependent, such as "signs of stagnation," "winning patterns," and "root causes of loss," remain as organizational assets.