Already Have a Dashboard but Still Rely on Gut Feeling? Here’s Why

A business decision-making dashboard may not give leaders greater confidence if it displays too many indicators, includes irrelevant data, or fails to identify which issues require attention. Users are then forced to interpret the data themselves and may return to relying on gut feeling. An effective dashboard should filter essential information, provide context, and guide the next action.

Many companies already have business dashboards that display sales, costs, inventory, productivity, and departmental performance. However, when an important decision must be made, owners and managers may still open separate spreadsheets, request additional reports, or contact their teams for further explanations.

This situation shows that having a dashboard does not automatically improve decision quality. The problem is often not a lack of data. Instead, the business data may be irrelevant, too many indicators may be displayed, or the information may not be connected to a specific decision. This article explores why dashboards may fail to support decision-making, how complexity can cause decision fatigue, how information needs vary by user, and how to make dashboards more actionable.

Data Is Available, but Decision-Makers May Not Feel More Confident

The availability of data does not automatically make decision-making easier. To serve as a reliable basis for decisions, data must be accurate, relevant, consistent, contextualised, and presented according to users’ needs.

In an experimental study involving 524 participants, Hjelle et al. (2024) explain: “The format, currency, and completeness of information indirectly affect decision making quality by reducing the perceived task complexity and enhancing information satisfaction”.

These findings show that dashboard effectiveness is not determined solely by the amount of available data. How information is structured, updated, and completed also affects users’ ability to understand business conditions and make informed decisions.

1. A Comprehensive Dashboard Is Not Always a Clear Dashboard

A dashboard that displays revenue, transactions, advertising costs, inventory, productivity, attendance, branch performance, and many other metrics may appear comprehensive. However, completeness does not necessarily help users find the information that matters most.

When reviewing sales performance, for example, an owner will typically need to know:

1. Has the sales target been achieved?
2. Has performance increased or decreased compared with the previous period?
3. Which product or branch contributed most to the change?
4. Which issue requires immediate attention?

Detailed transaction data may still be necessary, but it does not need to appear on the main dashboard. More granular information can be placed on a separate page or accessed through a drill-down feature when users need deeper analysis.

2. Business Owners May Still Hesitate When Making Decisions

Business owners do not always rely on gut feeling because they reject data. Uncertainty may arise when a dashboard only shows what happened without explaining which part of the information is most important.

A decline in sales, for example, is not enough to determine an action if the dashboard does not reveal whether the decline came from a particular product, branch, pricing change, inventory shortage, or lower conversion rate.

Uncertainty can also occur when dashboard figures differ from departmental reports. Differences in data sources, calculation formulas, reporting periods, and refresh times can cause management to question which numbers should be trusted.

3. Data Should Reduce the Cognitive Burden, Not Increase It

Business data visualization should reduce the time required to understand the company’s condition. A dashboard needs to transform raw data into structured information with sufficient context.

A revenue figure of IDR 500 million, for example, provides limited value when displayed on its own. The owner may also need to know:

1. What was the revenue target for the period?
2. Did revenue increase or decrease?
3. Which products or branches contributed the most?
4. Was the revenue increase accompanied by margin growth?
5. Does the result require immediate action?

This context helps users understand what the figures mean rather than simply viewing their numerical value.

The Problem Is Not a Lack of Data but Too Much Irrelevant Data

Many dashboards fail to support decisions because metrics are selected based on the data available rather than the decisions that need to be made. As a result, dashboard pages become overcrowded, and essential indicators become difficult to identify.

1. Not Every Metric Is Important to the Business Owner

Detailed operational metrics remain important to the teams responsible for executing day-to-day work, but they may not need to appear on an owner’s main dashboard.

A warehouse team may need to see the number of items processed each hour, the status of every order, and the location of individual stock-keeping units. A business owner is more likely to need inventory turnover, the value of slow-moving stock, order fulfilment rates, and the risk of lost sales caused by stockouts.

A business decision-making dashboard should present strategic summaries first. Operational details can remain available when the user needs to investigate the cause of a change.

2. Too Many Numbers Can Divide the User’s Attention

Every chart, table, colour, and KPI card demands the user’s attention. If a single screen contains too many elements, the owner must filter the information manually before identifying the main issue.

A dashboard with too many indicators can cause critical conditions to disappear among less important information. To prevent this, data should be:

1. Grouped by business objective.
2. Ordered by importance.
3. Compared with targets or previous periods.
4. Assigned a status when attention is required.
5. Separated into summary and detailed views.

With this structure, users do not have to review every number to identify the company’s priorities.

3. Metrics Should Be Selected Based on the Intended Decision

Before choosing charts, the company should identify the decisions the dashboard is expected to support. Will the dashboard help management allocate budgets, evaluate branches, control costs, plan inventory, or assess productivity?

The intended decision should then become the basis for selecting relevant metrics.

Complex Dashboards Can Cause Decision Fatigue

Decision fatigue can occur when users must process too much information and determine for themselves which data deserves attention. Decisions may then become slower, be postponed, or revert to intuition because intuition feels more efficient.

1. Too Many Choices Make Decisions More Difficult

If a dashboard shows numerous problems without differentiating their levels of urgency, the owner must conduct additional analysis before choosing an action. This increases the cognitive burden because the user must answer several questions at once:

1. Which problem has the greatest impact?
2. Which condition must be addressed today?
3. Is the change still within a normal range?
4. Who should be responsible for the follow-up?
5. What is the risk of delaying the action?

An effective dashboard should quickly answer three questions: What changed, how significant is the impact, and which action should be prioritised?

2. Owners May Return to Gut Feeling When the Dashboard Provides No Priorities

Gut feeling still has a role in business decisions, particularly when a company faces a new situation or does not yet have sufficient data. However, intuition becomes risky when it replaces reliable data that is already available.

Owners may return to gut feeling when the dashboard:

1. Does not identify the most critical indicator.
2. Does not compare actual performance with targets.
3. Does not explain the factors behind a change.
4. Does not show relationships between metrics.
5. Does not provide access to supporting data.

A more balanced approach combines the decision maker’s experience with relevant evidence. The dashboard supplies facts, trends, and alerts, while the owner uses business knowledge to select the most appropriate response.

3. A Good Dashboard Filters Information Instead of Accumulating It

A dashboard should place strategic indicators in the primary view, highlight significant variances, and provide more detailed information only when it is needed.

Comparisons are generally more useful than standalone values. Instead of displaying only the total operating cost, the dashboard can show:

1. Actual costs compared with the budget.
2. Cost changes compared with the previous month.
3. The department with the largest cost increase.
4. The cost component that contributed most to the increase.
5. Whether the condition is normal, requires monitoring, or is critical.

This structure helps users understand the situation and determine an action without having to review all the raw data.

A Dashboard Should Answer the Questions Business Owners Need to Ask

An effective decision-making dashboard begins with business questions rather than chart selection. Every indicator should have a clear reason for being displayed and should support a particular decision or action.

IBM defines data-driven decision-making as an approach that uses data and analysis to guide business decisions rather than relying exclusively on intuition. Therefore, the value of a dashboard lies in its ability to connect data with business objectives and actions.

1. What Needs to Be Decided Today?

The questions a dashboard needs to answer will vary by industry and user role. Examples include:

1. Which branch requires attention?
2. Which product has started to underperform?
3. Which cost has exceeded its budget?
4. Which project is at risk of being delayed?
5. Which inventory item needs to be replenished?
6. Which campaign is failing to generate conversions?
7. Which customer complaint has not been resolved within the SLA?

A dashboard can group information into conditions that require action today, trends that need to be monitored, and routine information that only needs periodic review.

2. Which Figures Have the Greatest Impact on the Business?

Primary indicators should be directly connected to business results, such as:

1. Revenue and sales growth.
2. Margin and cash flow.
3. Operating costs.
4. Team productivity.
5. Inventory availability and turnover.
6. Conversion rates and acquisition costs.
7. Customer service quality.
8. Target achievement across departments.

Supporting metrics can then explain changes in the primary indicators. For example, a lower conversion rate can affect acquisition costs and sales target achievement. Showing these relationships helps the owner understand business impact rather than viewing each department’s activities in isolation.

3. What Should Happen After the Data Is Reviewed?

A good dashboard should guide users from information to action. If operating costs exceed the defined limit, the system can show which cost components increased. If a branch’s performance declines, the user can open the relevant product, period, or process details.

For companies with specific operational requirements, dashboards can be developed through Custom ERP or Custom Enterprise Software solutions so that data sources, workflows, user permissions, and indicators match the company’s business needs.

Clarity Beats Complexity in Business Dashboards

A simple dashboard is not necessarily less advanced. Achieving clarity requires a strong understanding of user needs, relationships between data points, and the information that should receive priority.

1. A Dashboard Does Not Need to Be Filled with Charts

Not every type of information requires a complex visual. The visual format should be selected according to the question being answered.

1. KPI cards are suitable for displaying primary performance values.
2. Line charts are suitable for showing trends over time.
3. Bar charts are suitable for comparing categories.
4. Tables are suitable for reviewing detailed values.
5. Status colours are suitable for indicating conditions.
6. Flow diagrams are suitable for showing process relationships.

Adding charts simply to fill space can weaken the information hierarchy and make the dashboard more difficult to understand.

2. Use Status Indicators, Priorities, and Alerts

Statuses, priority labels, and notifications help owners identify conditions that require attention without reviewing every number individually.

For example:

1. Green indicates that performance remains within the target.
2. Yellow indicates a change that needs monitoring.
3. Red indicates a problem requiring action.
4. A “high priority” marker identifies a condition with significant business impact.
5. An alert is triggered when an indicator exceeds a predefined threshold.

Colours and alerts should be used consistently. If too many indicators are classified as critical, users will struggle to distinguish which issues should be addressed first.

3. Differentiate Dashboards for Owners, Managers, and Operational Teams

One dashboard may not be effective for every user because each organisational level has a different decision-making focus.

Role-based dashboards prevent two common problems: owners receiving excessive operational detail and operational teams receiving information that is too general to support daily work.

How to Make a Dashboard More Useful for Decision-Making

Improving a dashboard does not always require replacing the platform. A company can begin by reviewing the dashboard’s objectives, users, indicators, data quality, and the actions expected from each view.

1. Begin with Business Questions, Not Charts

Collect the questions that frequently arise during management meetings, such as:

1. Why is the margin declining?
2. Which branch needs additional support?
3. Is the marketing budget generating sales?
4. Which product is at risk of going out of stock?
5. Which project may be delayed?
6. Which process is limiting productivity?

These questions can then be translated into indicators, comparisons, filters, and supporting data. This approach prevents the team from filling the dashboard with information that is easy to retrieve but offers little value to decision makers.

2. Select Indicators Directly Connected to Targets

Each indicator should ideally have a target, measurement period, data source, owner, and required response when performance deviates.

Relevant indicators may include:

1. Revenue and sales growth to monitor overall business achievement.
2. Gross margin or net margin to evaluate the quality of growth.
3. Conversion rate and cost per lead to assess marketing effectiveness.
4. Operating costs against budget to maintain efficiency.
5. Inventory turnover and availability to control stock.
6. Team productivity to identify capacity issues and workflow constraints.
7. SLA and complaint resolution rates to monitor service quality.

The number of indicators does not need to be the same for every organisation. What matters is that every metric has a clear relationship with a business target and decision.

3. Design the Dashboard to Support Quick Action

Place the most important indicators where users will see them first. Use target comparisons, trends, statuses, and alerts to highlight conditions that require attention.

A dashboard can also provide:

1. Filters by period, branch, product, or department.
2. Drill-down functionality for investigating causes.
3. Information about the person responsible.
4. A history of actions already taken.
5. Notifications when indicators cross defined thresholds.
6. Links to related processes or supporting data.

These features help users move from identifying a problem to taking action without opening several separate reports.

4. Evaluate the Dashboard Regularly

Business targets and strategies change over time. An indicator that is important today may become less relevant when the company opens a new branch, adds a sales channel, changes its operating model, or enters a different market.

Evaluate the dashboard by asking:

1. Who uses the dashboard regularly?
2. Which information is viewed most often?
3. What data must still be requested manually?
4. Which questions remain unanswered?
5. Which indicators are no longer relevant?
6. Do users understand what each metric means?
7. Are the dashboard figures consistent with other reports?

If a company needs a dashboard connected to cross-department business processes, Odoo ERP can help integrate different functions into one ecosystem. AI Automation can also help identify patterns, summarise changes, and generate alerts based on rules defined by the company.

Automation still requires clean data, consistent metric definitions, and an appropriate validation process to ensure that the resulting insights can be trusted.

Practical Steps the Business Can Take

A company can improve its business decision-making dashboard through the following steps:

1. Define the decisions the dashboard should support. Create a list of the strategic and operational decisions most frequently faced by owners and managers.
2. Select relevant metrics. Use indicators directly connected to targets, risks, and business actions.
3. Standardise data definitions. Ensure that every department understands the source, formula, measurement period, and refresh schedule of each indicator.
4. Simplify the display. Place primary KPIs in the main view and move detailed information to secondary pages.
5. Prioritise the information. Use targets, statuses, trends, and alerts so that critical issues can be identified quickly.
6. Connect the dashboard with action. Assign responsible personnel and define follow-up procedures when an indicator crosses a threshold.
7. Review the dashboard regularly. Adjust it according to changes in strategy, processes, organisational structure, and user needs.

Frequently Asked Questions About Business Dashboards and Decision-Making

The following questions commonly arise when a business already has a dashboard but still relies on gut feeling for important decisions.

1. Why Does a Business Dashboard Not Always Support Decision-Making?

A dashboard may fail to support decisions when its indicators are irrelevant, its information is overcrowded, its data is outdated, or its design does not answer the user’s questions. It can also be difficult to trust when different departments use inconsistent data sources or definitions.

2. Why Do Business Owners Still Rely on Gut Feeling When Data Is Available?

Owners may return to gut feeling when data does not show priorities, lacks context, or fails to indicate what action should be taken. Intuition may also be used when dashboard figures do not match conditions observed in the business.

3. What Is Decision Fatigue When Reviewing Business Data?

Decision fatigue is mental exhaustion caused by processing too much information or too many choices. In a business dashboard, it can occur when users must review numerous indicators without knowing which information matters most.

4. How Should Relevant Metrics Be Selected for an Owner’s Dashboard?

Begin with the targets and decisions for which the owner is responsible. Select indicators that show business results, risks, trends, and variances requiring action. Detailed operational information can remain available through secondary pages or drill-down features.

5. What Is the Difference Between an Owner Dashboard and an Operational Dashboard?

An owner dashboard focuses on strategic performance, trends, risks, and cross-department target achievement. An operational dashboard displays daily activities, work queues, process statuses, and detailed information required to complete tasks.

6. When Does a Business Need a Custom Dashboard?

A custom dashboard can be considered when the company has unique processes, data comes from multiple systems, standard solutions cannot display critical indicators, or specific integrations and access controls are required.

7. Should a Dashboard Be Connected to an ERP or an Internal System?

Integration is beneficial when the company wants to reduce manual data transfer, accelerate updates, and maintain information consistency across departments. However, the company still needs to standardise metric definitions, data sources, user permissions, and validation processes.

Conclusion: The Best Dashboard Is Not the Most Comprehensive but the Most Useful

A business decision-making dashboard should provide clarity rather than simply display large volumes of information. If management still relies heavily on gut feeling, the problem may lie in metric relevance, data quality, presentation, or the dashboard’s inability to answer the right questions.

If the dashboard is difficult to understand, simplify the indicators and highlight the main priorities. If its figures are frequently questioned, review the data sources, definitions, and refresh schedules. If owners, managers, and operational teams have different needs, create views tailored to each role.

If a standard dashboard cannot follow the company’s processes or still requires numerous manual reports, consider a custom dashboard connected to the ERP and internal systems. With this approach, data-driven decision-making does not stop at making figures available—it helps the company determine more focused and measurable actions.

Turn Business Data into Clearer Decisions

If your company already has a business dashboard but it still does not provide sufficient decision clarity, Smart IT can help design dashboard systems, Custom ERP, Odoo ERP, AI Automation, and business software tailored to your processes. Consult Smart IT to build a system that does more than display data—it can help management identify priorities and determine the next action.

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Referensi:

1. Hjelle, S., Mikalef, P., Altwaijry, N., & Parida, V. (2024). Organizational decision making and analytics: An experimental study on dashboard visualizations. Information & Management, 61(4), 104011. https://doi.org/10.1016/j.im.2024.104011 
2. Mucci, T. (2024, July 23). What is data-driven decision-making? IBM. https://www.ibm.com/think/topics/data-driven-decision-making