ThumbsUp buying guide
Use the ThumbsUp dashboard to turn feedback into next steps
The ThumbsUp dashboard helps authorized managers review feedback collected at physical locations. In Statistics, users can choose date ranges, group results by devices or employees, switch chart views, inspect total feedback and averages, review insight cards, and export a PDF report. The right use is to spot a pattern worth checking in the operation—not to treat a score as a complete explanation or automatic verdict.
For Customer-experience, operations, regional, and site managers who need a repeatable way to review feedback from ThumbsUp locations.
Decision frame
Start with one physical service moment.
ThumbsUp helps an authorized team review a configured location and time signal. The setup still needs a site test for distance, lighting, reach, accessibility, privacy, and safe use.
Ask the question that matters to your team
Authorized managers can create or change the short question shown on assigned feedback devices. After Question Mode is enabled on those devices, customers answer the active question with a supported hand gesture—for example, “How good was the cleaning service?”—so each location can collect a signal about the service moment it wants to improve.
What can you do in a customer feedback dashboard?
A useful dashboard gives a manager a consistent path from a feedback signal to an operational question. The ThumbsUp Statistics view is built around the feedback already collected from the account's devices and configured employee context. It helps a team see what happened in a selected period, decide where to look, and keep the follow-up grounded in the physical service experience.
The dashboard is most useful when each view has a defined job. Use the summary cards for the size and overall level of the signal, the grouped chart for comparisons, the insight cards for a starting point, and the exported report for a review record. The result is a prioritization aid, not a substitute for observing the service moment or speaking with the people who run it.
| Manager task | ThumbsUp dashboard view | Useful next check |
|---|---|---|
| Check the size of the signal | Total Feedback and Average for the selected interval | Confirm the response volume and service context before comparing periods. |
| Compare physical feedback points | Group by Devices with a line or bar chart | Compare like-for-like service stages, placement, traffic, and operating conditions. |
| Review configured employee context | Group by Employees and inspect the performance chart | Use a pattern to guide a workflow or coaching conversation, not to assign fault automatically. |
| Find when responses are concentrated | Most Active Time insight card and selected date range | Check staffing, queues, handoffs, and customer flow during that period. |
| Create a review snapshot | Export from the Statistics view as a PDF report | Record the range, grouping, finding, owner, and follow-up action with the report. |
Filter the question before reading the chart
Start with the time window and comparison that match the decision. The Statistics view provides presets for the last hour, today, the last 7 days, the last 30 days, the last year, and all time. More options also allow a manager to enter a custom start and end date and time. Changing the range before reading the chart helps prevent a short busy period from being mistaken for a location-wide pattern.
Next choose whether the chart is grouped by devices or employees. Devices are the natural choice for questions about placement, site flow, or a particular feedback point. Employees are useful when the account has configured employee context for the feedback and the manager is reviewing a service pattern connected to a team or shift.
| Question | Start with | Keep in mind |
|---|---|---|
| Did this feedback point change this week? | Last 7 Days, grouped by Devices | Check whether the device represents the same service stage across the comparison. |
| Was the issue concentrated in a particular operating period? | A custom date range or preset, then the device view | Use the chart to identify a window; inspect the queue, handoff, and site conditions next. |
| Which configured employee context needs attention? | The relevant range, grouped by Employees | Treat the result as a prompt for a fair review, not as proof of individual cause. |
| Is there enough history to see a recurring pattern? | Last 30 Days, Last Year, or All Time | A longer range may combine different staffing, placement, prompts, or operating conditions. |
Read the dashboard's summary and insight cards
The Statistics view combines a chart with a Total Feedback card, the average score for the selected interval, and insight cards for the lowest-performing device, lowest-performing employee, and most active time. These elements answer different questions. A low average may indicate a pattern, while a small total may indicate that the result needs more context before it is compared with a busier period.
Use the lowest-performing cards as a way to choose where to investigate first. Check device visibility, camera conditions, prompt clarity, queue movement, staffing, and the service handoff that the device represents. An insight card names a pattern in the selected data; it does not diagnose the cause or prove that a particular employee created the result.
- Read the date range and grouping before interpreting any value.
- Consider both the average score and feedback volume; do not rank a single response against a sustained pattern without saying so.
- Compare similar service moments before calling one device or employee context better or worse.
- Use the most-active-time result to plan an observation, not to assume that the busiest period caused a score change.
Use a repeatable dashboard review loop
A dashboard becomes useful when the review routine is as clear as the chart. Assign an owner, choose a consistent interval, and write down the operational question before opening the report. After the dashboard points to a device, employee context, or time window, inspect the corresponding service process and record what changed. Recheck a comparable period after the action instead of treating the first follow-up score as proof that one intervention caused the movement.
Illustrative example: a site manager sees a lower average for a front-desk device over the last 7 days. The manager checks response volume, arrival flow, signage, camera view, staffing, and the handoff being measured. If the team changes the queue instruction, the next review should note that change and compare a similar period while keeping the feedback signal separate from other operational evidence.
- Define the service moment and the decision the review should inform.
- Select the date range and grouping that fit that decision.
- Read total feedback, average, chart pattern, and insight card together.
- Inspect the physical workflow and record the observation or process change.
- Export the review when a team needs a dated record, then revisit a comparable period.
Export a focused report for team review
The Statistics view includes a PDF export for the filtered report. Before exporting, verify the date range, whether the report is grouped by devices or employees, and the chart state that represents the question being reviewed. A dated snapshot can make a meeting more concrete, especially when it includes the finding, the operational owner, and the next check alongside the dashboard output.
Use the PDF as a record of the selected dashboard view, not as a complete customer-research file. It does not add written reasons, customer identity, transaction evidence, or a causal explanation that was not present in the underlying feedback. If the team needs those details, pair the dashboard with the process, survey, observation, or service channel that can supply them.
| Before export | Why it matters |
|---|---|
| Confirm the date range | The same chart can tell a different story over an hour, a week, or a year. |
| Confirm Devices or Employees grouping | The grouping changes which entities the comparison describes. |
| Note the volume and average | A reader needs both the level of the signal and how much feedback supports it. |
| Add the decision and owner outside the chart | A report is more useful when the team knows what will be checked next and who owns it. |
What the dashboard can—and cannot—establish
ThumbsUp feedback is a signal from the people who choose to respond at a physical service point. The dashboard can organize that signal by its available time, device, location, and configured employee or shift context. It cannot turn a voluntary response into a complete sample of every visitor, explain a low score by itself, or establish that one employee or one operational change caused the result.
Keep a separate path for detailed comments, customer contact, complaints, and evidence that must be tied to a transaction. Do not assume that a customer feedback dashboard is a CRM, point-of-sale, workforce-management, or business-intelligence integration. Ask ThumbsUp for current documentation when a required connector, export format, retention rule, or access role is part of the buying decision.
- No response is not evidence that everyone was satisfied.
- A low score identifies a place to investigate; it does not identify a cause or prove employee fault.
- Different devices may represent different stages, environments, traffic, or prompts, so they may not be directly comparable.
- Configured score bands help organize the view, but universal red, yellow, or green cutoffs should not be assumed.
- A dashboard review should be paired with a clear alternative route for detailed or accessibility-related feedback.
Use the ThumbsUp AI Assistant for question-led analysis when available
For accounts with access to the ThumbsUp AI Assistant, a manager can ask questions about feedback scores, devices, employees, time windows, shifts, weekdays, previous-period comparisons, or the latest feedback. The assistant can return an answer and a chart for supported questions, while the Statistics view remains the place for repeatable filters, summary cards, and PDF reports.
Ask a specific question with an entity and time range, such as a device over the last 7 days or an employee compared with the previous period. Treat the answer as a way to explore the account's feedback data, then verify important findings in the dashboard and the operation. The assistant is not a substitute for financial forecasting, legal decisions, HR decisions, or on-site investigation.
| Question you want to answer | Useful prompt shape |
|---|---|
| Find a device that needs attention | Which device performed worst in the last 7 days? |
| Compare a team pattern | Compare employees by rating this week. |
| Look for a time pattern | Show the daily trend for a device this month. |
| Prioritize volume and score together | Where should I focus first for the biggest customer impact? |
Questions to ask before choosing a feedback dashboard
A dashboard purchase should be evaluated against the review routine the team will actually run. Ask for a site-specific demonstration using the service stages, device names, employee context, and date ranges that matter to the operation. Confirm what is available to each authorized user and what remains outside the product boundary.
For ThumbsUp, confirm the supported camera-equipped Android tablet and the physical conditions for the feedback point, then verify the manager workflow in the current product documentation. The key question is not whether a screen contains many charts; it is whether the team can move from a defined signal to a fair operational check without confusing a score with a diagnosis.
- Can the team filter by the date ranges and custom windows used in its operating reviews?
- Can managers group the view by the devices and configured employee context they own?
- Does the dashboard show feedback volume alongside an average or other score summary?
- Can the team export a dated report with the selected view for internal review?
- Who reviews a pattern, what evidence do they check on site, and how is the follow-up recorded?
- Which connectors, access roles, data-handling terms, and retention details are documented for the current plan?
Questions operators ask
Use the ThumbsUp dashboard to turn feedback into next steps questions, answered clearly.
What does the ThumbsUp customer feedback dashboard show?
Authorized managers can use the Statistics view to select a time range, group feedback by devices or employees, switch between line and bar chart views, review total feedback and the average score, see insight cards for low-performing entities and most active time, and export a PDF report.
Can I filter ThumbsUp feedback by date?
Yes. The Statistics view includes presets for the last hour, today, the last 7 days, the last 30 days, the last year, and all time. More options allow a manager to enter a custom start and end date and time.
Can a ThumbsUp dashboard compare devices and employees?
Yes. The Statistics view can group the chart by Devices or Employees when the account has the relevant configured context. Compare similar service moments and use differences as prompts for investigation rather than as automatic proof of cause or employee fault.
Can I export a customer feedback dashboard report?
The ThumbsUp Statistics view includes PDF export for the selected report. Check the date range, grouping, and chart state before exporting so the snapshot matches the question being reviewed.
How can a feedback dashboard guide the next service improvement?
A ThumbsUp score is a signal about a configured physical service moment. Managers can use the question, device, location, time, and historical context to choose a focused review, then pair it with a survey, interview, complaint, or operational observation when more detail is needed.
How can the dashboard support a fair employee or shift review?
Employee grouping can help a manager review a configured pattern by time, service process, and staffing context. Use the dashboard with the relevant operational evidence to choose coaching or process improvements fairly, while keeping the result as context rather than a standalone personnel conclusion.
Does ThumbsUp include CRM, POS, or workforce-management integrations?
Do not assume a universal built-in integration. Confirm any required CRM, POS, workforce, business-intelligence, export, access, or retention capability in the current ThumbsUp documentation and plan terms before purchase.
What can I ask the ThumbsUp AI Assistant?
For accounts with access, the AI Assistant can help analyze feedback questions about devices, employees, scores, time ranges, shifts, weekdays, previous-period comparisons, and latest feedback, and may show a chart. Verify important findings in the Statistics view and the physical operation.
Continue the research
Plan the right feedback point with ThumbsUp.
Bring the service journey, site constraints, and reporting questions. The contact form can help define what a responsible pilot should test before launch.
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