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Research Management - Chore Chart - Editable

Download and customize a free Research Management Chore Chart Editable Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.

< < < t d > Not Started < t d > < Not Started < t d >
Task Assigned To Due Date Status Notes
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Editable Research Management Chore Chart Template

This Editable Research Management Chore Chart template is a purpose-built Microsoft Excel workbook designed to streamline the organization, tracking, and accountability of research-related tasks within academic teams, labs, or research departments. Unlike traditional project trackers or Gantt charts, this template adopts the intuitive structure of a chore chart—typically used in households—to transform complex research workflows into manageable daily/weekly assignments. Its editable nature empowers researchers to customize every field according to their unique protocols, timelines, and team roles without requiring advanced technical skills.

Sheet Names

  • Dashboard: Central overview with visual metrics and KPIs.
  • Chore Log: Primary data entry sheet for all research tasks.
  • Team Members: Master list of researchers, roles, and contact info.
  • Task Library: Predefined research task templates to reuse across projects.
  • Reports: Auto-generated summary tables and export-ready data for meetings or funding reports.

Table Structures & Column Definitions

The core of the template is the Chore Log sheet, structured as a dynamic table with the following columns:

<
Date by which the task must be completed.
Select: Not Started, In Progress, Pending Review, Completed. Triggers conditional formatting.
: Low, Medium, High. Influences color-coding and sorting.
Time estimate for task completion. Used in workload analysis.
User updates post-completion to track efficiency.
Auto-filled when Status = “Completed”. Uses IF formula.
Freetext field for methodology notes, issues encountered, or references.
Column Name Data Type Description
IDNumber (Auto)Unique identifier generated automatically using ROW() function.
Task NameTextName of the research task (e.g., “Run PCR on Sample Set 3”). Linked to Task Library.
CategoryDropdown (Text)Categorizes tasks: Data Collection, Lab Work, Literature Review, Writing, Analysis, Ethics Compliance.
Assigned ToDropdown (Text)Selects team member from Team Members sheet. Enforces consistency.
Due DateDate
StatusDropdown (Text)
PriorityDropdown (Text)
Estimated HoursNumber (Decimal)
Actual HoursNumber (Decimal)
Date CompletedDate (Optional)
NotesText (Multi-line)

Key Formulas

  • =IF([@Status]="Completed", TODAY(), "") → Auto-populates Date Completed when task is marked done.
  • =SUMIFS(ChoreLog[Estimated Hours], ChoreLog[Assigned To], [@[Assigned To]]) → Calculates total estimated hours per researcher on the Dashboard.
  • =COUNTIFS(ChoreLog[Status], "Completed", ChoreLog[Assigned To], [@Name]) / COUNTIF(ChoreLog[Assigned To], [@Name]) → Computes completion rate % for each team member.
  • =VLOOKUP([@Task Name], TaskLibrary!A:B, 2, FALSE) → Auto-fills Category when a task is selected from the Task Library.

Conditional Formatting Rules

  • Status Colors: “Not Started” = Gray; “In Progress” = Yellow; “Pending Review” = Orange; “Completed” = Green.
  • Priority Highlights: High Priority tasks trigger red border and bold text.
  • Overdue Alerts: Any task with Due Date < TODAY() and Status ≠ Completed turns the row red and displays a warning icon (using custom font symbols).
  • Workload Imbalance: If a team member’s estimated hours exceed 40/week, their name in the Dashboard turns purple to signal burnout risk.

User Instructions

  1. Set up your team: Enter names, roles, and email addresses on the “Team Members” sheet. These auto-populate dropdowns everywhere else.
  2. Build your task library: In “Task Library,” create reusable research tasks (e.g., “Analyze RNA-seq data,” “Submit IRB amendment”) with their default categories and estimated hours.
  3. Add chores daily/weekly: On “Chore Log,” select Task Name from dropdown, assign to a team member, set due date and priority. Use the Status dropdown to update progress.
  4. Update actual hours: After completing a task, enter the time spent. This enables productivity analysis over time.
  5. Review Dashboard weekly: Check visual summaries: Completion rate per person, overdue tasks, workload distribution. Use this for team stand-ups.
  6. Edit freely: Add columns, change categories, or delete rows—this template is fully editable and non-protected. Save a backup if needed.

Example Rows




   Tips: This template is not locked—rename sheets, change colors, or add your own metrics. Use Excel’s “Data Validation” to restrict dropdowns further if needed. For cloud collaboration, save the file on OneDrive or Google Drive and share edit access with co-researchers.

Recommended Charts & Dashboards

  • Pie Chart: “Task Category Distribution” to visualize where most time is spent (e.g., 40% analysis, 30% writing).
  • Stacked Bar Chart: “Weekly Workload by Team Member” using Estimated Hours—ideal for balancing assignments.
  • Gantt-style Timeline: Created with horizontal bar charts showing Due Dates vs. Date Completed to visualize delays and efficiency trends.
  • KPI Tiles on Dashboard: “Total Tasks,” “% Completed,” “Avg. Time per Task,” and “Overdue Tasks” using SUM, COUNT, AVERAGE formulas displayed as large text boxes with icons.

The Editable Research Management Chore Chart transforms rigid research planning into an agile, visual system where accountability is clear and progress is celebrated. By blending the simplicity of a chore chart with the rigor of scientific workflow management, this template ensures no data point gets lost—and no researcher feels overwhelmed. Its editable nature means it evolves with your lab’s needs, making it not just a tool, but a living system for research excellence.

⬇️ Download as Excel✏️ Edit online as Excel

Create your own Excel template with our GoGPT AI prompt:

GoGPT
IDTask NameCategoryAssigned ToDue DateStatusPriorityEst. HoursAcutal Hours
Date Completed
Notes
1Analyze RNA-seq data (Set B)Data AnalysisDr. Lee2024-06-15