Your marketing team always works with the same three people. Your engineering department operates in complete isolation from sales. That brilliant junior analyst never gets exposure to senior leadership. Your remote workers rarely collaborate with in-office staff.
Meanwhile, you're spending thousands on innovation consultants wondering why fresh ideas never emerge.
The problem isn't your people. It's how you're pairing them.
Research from MIT, Harvard Business Review, and organizational psychology studies consistently shows the same finding: diverse, randomly-formed teams outperform self-selected homogeneous teams on complex problem-solving by significant margins. We're talking 15-30% improvement in innovation metrics, faster problem resolution, and better business outcomes.
Yet most organizations still let employees self-select their collaborators for projects, working groups, and team activities. The result? Echo chambers, knowledge silos, and missed opportunities.
Random team formation isn't about destroying existing team structures. It's a strategic tool for specific situations where you need fresh thinking, cross-pollination of ideas, and genuine innovation. This guide shows you exactly when and how to use it.
The science behind random team formation
Let's start with data, because "randomly assigning people to teams" sounds risky without evidence backing it up.
Multiple research streams support the effectiveness of diverse, randomly-formed teams.
Studies on cognitive diversity show that teams with varied thinking styles, backgrounds, and expertise outperform homogeneous teams on complex, non-routine tasks. A 2018 study published in the Academy of Management Journal found that cognitively diverse teams generated 20% more innovative solutions than teams with similar thinking patterns.
The improvement comes from what researchers call "productive friction." When people with different perspectives collaborate, they challenge each other's assumptions. Ideas get tested more rigorously. Blind spots become visible. Solutions emerge that no one individual would have conceived.
Mark Granovetter's influential research on "weak ties" demonstrates that professional breakthroughs often come from peripheral connections, not close colleagues. The acquaintance you barely know is more likely to introduce you to novel information than your best friend who shares your network and experiences.
Random team formation systematically creates these weak ties within organizations. That product manager who never talks to operations suddenly spends a morning collaborating. They discover insights neither would have encountered otherwise.
Research on cross-functional collaboration shows similar patterns. Organizations with high levels of cross-departmental interaction innovate faster, adapt to market changes more quickly, and retain employees longer than siloed organizations.
Companies like Google have experimented extensively with team formation. Their Project Aristotle research found that team composition matters more than individual talent. The highest-performing teams weren't necessarily those with the smartest people. They were teams with diversity, psychological safety, and fresh dynamics.
Innovation doesn't come from comfort. It comes from the constructive discomfort of working with people who think differently than you do.
Problems with self-selected teams
When you let employees choose their own teammates, predictable patterns emerge. Most are counterproductive.
Groupthink and echo chambers
People naturally gravitate toward others who think like them. Same educational background, similar work experience, shared assumptions about how things work.
These teams rarely challenge each other's ideas effectively. When everyone already agrees, critique feels like betrayal. Confirmation bias reinforces existing beliefs. Solutions that seem obvious to the homogeneous team miss angles that diverse perspectives would catch.
Innovation suffers when nobody's asking "but what if we're wrong?"
Clique formation
The same people always work together. They develop shorthand, inside jokes, and deep trust - all valuable for execution but limiting for exploration.
These tight bonds create "in groups" and "out groups." New employees struggle to break into established circles. Knowledge stays trapped within cliques. The tight group hoards best practices instead of sharing them.
Office politics emerge. Some employees get continuous access to high-visibility projects. Others never get the chance.
Missed learning opportunities
Junior employees don't get exposure to senior expertise when teams self-segregate by seniority. The newest analyst learns only from other new analysts.
Different departments never interact. Marketing doesn't understand engineering's constraints. Engineering doesn't grasp customer service's front-line insights. Skills and best practices don't transfer across functional boundaries.
Career development becomes limited by who you know. The junior designer who gets randomly paired with the creative director for a brainstorming session gains mentorship opportunities they'd never access through self-selection.
Exclusion and inequity
Less outgoing employees get consistently overlooked. They're competent, but they don't aggressively network or promote themselves. In self-selected teams, they're the last ones picked or never picked at all.
Remote workers face systematic exclusion when offices rely on spontaneous hallway conversations for team formation. By the time the remote worker joins the video call, in-office employees have already formed their groups.
Unconscious bias affects team selection. Research shows people unconsciously favor collaborators who share their demographic characteristics - same gender, race, age, or educational background. These biases compound over time.
Some people end up on every high-profile project. Others never get the developmental opportunities that visibility provides.
Stagnation
When the same team composition repeats endlessly, people fall into comfortable roles. The same person always leads. Another always takes notes. A third always handles client communication.
Growth requires stretch opportunities. Random team formation forces everyone to step outside their typical role. The quiet analyst might need to present. The loud extrovert might need to listen.
Company culture fragments when departments operate as separate entities. Engineering culture diverges from sales culture. Eventually, they struggle to collaborate at all.
Innovation pipelines dry up when ideas only circulate within tight groups. The breakthrough solution often requires connecting two concepts that exist in different departments but never meet.
Benefits of random team assignment
Now let's examine what happens when you intentionally use random team formation in the right contexts.
Increased innovation and creativity
Fresh perspectives challenge entrenched assumptions. When the compliance officer collaborates with the product designer, both learn to see problems differently.
Diverse thinking styles complement each other. Linear, analytical thinkers pair with creative, intuitive thinkers. The combination produces solutions neither would generate alone.
Unexpected pairings spark new ideas. The conversation between seemingly unrelated roles - HR and data analytics, for instance - might reveal insights about employee retention that neither would discover independently.
People share approaches from different contexts. "In my department, we handle this by..." introduces practices that can be adapted across the organization.
Real example: A financial services company randomly paired accountants with customer service reps for a process improvement workshop. The customer service team didn't know certain compliance requirements existed. The accounting team didn't realize how their processes created customer friction. Together, they redesigned the workflow to be both compliant and customer-friendly.
Knowledge transfer across the organization
Junior employees learn directly from experienced colleagues when random pairing puts them together. The mentorship happens organically through collaboration, not formal programs that often feel artificial.
Different departments understand each other's challenges. Sales finally grasps why engineering can't turn around custom features in 48 hours. Engineering understands the competitive pressure sales faces.
Best practices spread naturally. "Oh, we solved that problem in our department using this approach" becomes a conversation starter.
Tribal knowledge - the critical information that lives in people's heads but never gets documented - transfers through direct collaboration.
Knowledge silos break down. Information stops being hoarded by individual teams and starts flowing across organizational boundaries.
Equity and inclusion
Random assignment gives everyone equal chance to participate. The process is transparent and fair. No one succeeds or fails based on who they know or how aggressively they self-promote.
Bias gets removed from selection. The algorithm doesn't care about demographics, personality types, or social status. It just creates balanced teams.
New employees integrate faster when random pairing introduces them to colleagues across the organization. Instead of spending six months learning who's who through osmosis, they meet diverse teammates immediately.
Remote and in-office workers mix fairly. Remote workers aren't systematically excluded from spontaneous team formation that happens in hallways.
Underrepresented voices get included automatically rather than being the afterthought ("oh, we should probably add someone from that group").
Skill development
People work outside comfort zones. The engineer who always codes might need to present findings. The marketer who always writes copy might need to analyze data.
New competencies emerge. You discover that quiet developer is actually brilliant at facilitating discussions. The aggressive sales person turns out to be thoughtful and analytical in different contexts.
Leadership opportunities get distributed. When teams rotate, different people lead different projects. Leadership development happens through experience, not just the official high-potential track.
Communication skills improve. Working with unfamiliar collaborators requires clearer explanation, active listening, and empathy.
Adaptability strengthens. Adjusting to new team dynamics every project builds flexibility.
Stronger organizational culture
Employees know colleagues beyond their immediate team. The accountant and the graphic designer share an inside joke from that brainstorming session. These micro-connections weave the social fabric.
Departmental barriers break down. "Us versus them" thinking decreases when you've collaborated with people from "them" and discovered they're just colleagues with different responsibilities.
Shared experiences create common reference points. "Remember that crazy team challenge we did at the kickoff?" becomes part of organizational folklore.
Empathy for other roles builds. When you've worked with customer service, you understand their stress. When you've collaborated with engineering, you grasp their constraints.
Fresh team dynamics
No one gets stuck in the same role forever. The person who always takes notes in their regular team might lead in a random group. The usual leader might discover they enjoy supporting roles sometimes.
Natural leaders emerge in different contexts. Someone quiet in technical discussions might shine when leading creative work.
Quiet voices get heard. Random small groups create space for people who don't speak up in their usual environment.
Burnout from repetitive group dynamics decreases. The friction from that one difficult colleague becomes manageable when it's not every single project.
Energy and engagement stay high. Novel collaborations feel fresh. Repetitive same-team projects get stale.
Better problem solving
Multiple viewpoints get considered automatically. You're not getting five people who all think the same way. You're getting genuinely diverse analysis.
Blind spots get identified. Someone who doesn't share your assumptions spots the flaw you'd never see.
More thorough analysis happens. Different expertise means different questions get asked. The engineer checks technical feasibility. The finance person checks cost. The operations specialist checks scalability.
Risk identification improves. Diverse teams surface more potential risks than homogeneous teams because they imagine more scenarios.
Solutions are more robust. When your solution survives scrutiny from people with different perspectives, you can trust it more.
When to use random teams versus strategic pairing
Random team formation isn't appropriate for every situation. Here's how to know when to use it.
Best use cases for random assignment
Brainstorming and ideation sessions benefit enormously from random teams. Fresh combinations generate more diverse ideas. There's no predetermined "right answer" that existing teams would converge on too quickly.
Innovation workshops work perfectly with random groups. You're specifically seeking novel approaches. Unfamiliar collaborations produce them.
Team building activities achieve their purpose better when teams rotate. Building relationships across the organization matters more than optimizing performance on a trust fall exercise.
Cross-functional learning initiatives like lunch-and-learns or skill shares specifically aim to break down silos. Random pairing accelerates that goal.
Hackathons and creative sprints explicitly value innovation over efficiency. Random teams with diverse skills often produce the most creative prototypes.
Onboarding buddy systems benefit from some randomization (within parameters like seniority level) to prevent new hires from only connecting with one department.
Conference breakout groups and training exercises maximize learning when participants work with different people each session.
When strategic pairing makes more sense
Highly technical projects requiring specific expertise need the right specialists. Random assignment might not include the required skills.
Time-sensitive client deliverables demand efficiency. Well-established teams work faster than newly formed ones. Use proven combinations when deadlines are tight.
Compliance or legal work requiring certification can't be done by random employees. Specific credentials matter.
Projects with complex dependencies benefit from teams that already understand the system and each other's working styles.
Long-term projects needing continuity work better with stable teams. Some projects require the deep knowledge that only comes from working together for months.
Performance improvement plans requiring specific mentorship should pair struggling employees with particular managers or senior staff, not random colleagues.
Hybrid approach
Often the best solution combines both methods.
Start with random teams for the discovery phase of projects. Let diverse groups explore the problem space, generate ideas, and surface considerations.
Transition to strategic teams for execution. Once you know what you're building, assemble the specific expertise needed to deliver it.
Use random pairing within strategic constraints. "Random assignment, but from these specific departments" or "random pairing of senior and junior staff."
Rotate team members periodically while maintaining core stability. A six-person team might keep four members consistent while rotating two positions every quarter.
The key is matching team formation method to task requirements. Innovation and learning favor randomness. Specialized execution favors strategic selection.
How to implement random teams in your workplace
Theory is nice. Implementation is where results happen. Here's how to use random team formation for common workplace scenarios.
Project kickoffs
Format: Random teams for initial brainstorming and scoping
Use the Team Splitter at the start of new initiatives. Create groups of 4-6 people mixing departments, seniority levels, and functions.
Each group explores a different angle of the project. One might focus on customer impact. Another examines technical feasibility. A third considers financial implications.
Groups present their findings. The best ideas from each inform how you form strategic teams for actual execution.
This approach ensures diverse perspectives shape the project from the beginning, not as an afterthought. You also gain buy-in from stakeholders across the organization because they participated in defining scope.
Brainstorming sessions
Format: Randomized small groups for idea generation
Before your brainstorming session, use the Team Splitter to create groups. Groups of 4-5 work best - large enough for diverse input, small enough for everyone to contribute.
Run focused 15-20 minute brainstorming sessions. Provide a clear problem statement or prompt.
Then rotate groups for a second round. Different composition yields different ideas. The same person might share something in their second group they didn't mention in their first.
Capture all ideas. Synthesize later rather than evaluating during generation.
This structure prevents the common problem where the loudest voice dominates brainstorming. Everyone contributes in small groups, even people who wouldn't speak up in a 30-person room.
Cross-functional initiatives
Format: Representatives from each department randomly paired
When tackling organization-wide challenges like process improvement or culture initiatives, ensure every relevant department participates.
List employees from each department. Use the Team Splitter to create balanced cross-functional teams. Each team should include marketing, engineering, sales, operations, or whatever functions are relevant.
Teams work on the same challenge from different angles. This prevents the solution from being overly optimized for one department at another's expense.
Compare approaches across teams. Often the best final solution combines elements from multiple teams' work.
Example use case: One manufacturing company used this approach for reducing customer complaints. Random cross-functional teams each identified different root causes (engineering saw quality issues, sales saw communication gaps, logistics saw shipping delays). The final solution addressed all three.
Training exercises
Format: Random pairing for role-plays, case studies, and exercises
Professional development sessions maximize learning when participants work with different partners throughout the day.
Use the Team Splitter for each exercise. First role-play has one set of pairings. Second exercise creates new groups. By end of day, everyone has worked with multiple colleagues.
This approach amplifies peer learning. You're exposed to how different people approach the same situation.
It also keeps energy high. The same partner for eight hours gets tedious. Fresh collaborators maintain engagement.
Facilitators gain insight by observing how the same person performs in different group dynamics. Sometimes struggles aren't about individual capability but about specific interpersonal chemistry.
Team lunch rotations
Format: Scheduled lunches with randomly assigned colleagues
Monthly or quarterly lunch programs build relationships across the organization.
Use the Team Splitter to create lunch groups of 4-6 people. The company provides a lunch budget or orders food.
Groups meet for casual conversation. No required work agenda. Just colleagues getting to know each other.
This is especially valuable for remote workers visiting the office, newer employees expanding their networks, or organizations struggling with siloed departments.
Many companies call these "lunch roulette," "donut dates," or "random coffee." Whatever the name, the mechanism is the same: structured random pairing for relationship building.
The informal setting means topics range from work challenges to weekend hobbies. Those personal connections make future work collaboration smoother.
Using FateFactory Team Splitter
Here's exactly how to implement random team formation using free tools.
Step-by-step guide
1. Gather your employee list
Export from your HR system or create a simple spreadsheet. Include just names, or add details like department and location if you want to verify balance afterward.
For large groups, a CSV or TXT file with one name per line works perfectly.
2. Access the Team Splitter
Visit www.fatefactory.org/en/team-splitter. No signup, no download, no credit card. Just a free tool that works immediately on any device.
3. Input your team members
Paste names directly (one per line) or type them individually. For large groups, upload a TXT or CSV file.
The tool handles teams of any size - from 10 people to 500.
4. Set number of teams or team size
Specify how many teams you need ("create 8 teams") or set team size ("make teams of 5"). The tool calculates the other variable automatically.
For most brainstorming and collaboration work, teams of 4-6 people work best. Small enough for everyone to contribute. Large enough for diverse perspectives.
5. Generate random teams
Click "Split Teams." The algorithm randomly distributes people into balanced groups.
Results appear instantly. Teams are numbered for easy reference.
6. Review and use results
Download the results as a file or copy-paste into an email announcement.
If you want to try different compositions, generate again. Each click creates a new random arrangement.
For rotating teams over time, save each composition with a date. This helps you avoid repeating the exact same groupings in future sessions.
Pro tips
Save team compositions for documentation and future reference. If someone asks "who was on Team 3 during the April workshop," you'll have records.
Generate multiple options and review before announcing. While the tool creates balanced teams, you might want to regenerate if two people who are currently in conflict end up together, or if all the senior leaders cluster on one team.
Use the tool consistently to demonstrate fairness. When employees see you're not hand-picking teams, they trust the process.
Share the tool link with team leads and managers. Empower them to use random team formation for their own projects and initiatives.
Measuring the impact
How do you know random team formation is working? Track these metrics.
Employee engagement
Survey employees about cross-team collaboration before implementing random teams and quarterly afterward. Ask specific questions:
- "How often do you collaborate with colleagues outside your immediate team?"
- "Rate your understanding of what other departments do."
- "Do you feel you have equal opportunities to contribute regardless of your role or seniority?"
Participation rates in random team activities signal engagement. Low participation suggests the activities aren't providing value. High and growing participation indicates people find them worthwhile.
Direct feedback matters. After activities using random teams, ask "How valuable was this session?" and "Would you want to do this again?"
Innovation outputs
Count ideas generated in brainstorming sessions using random teams versus traditional teams. Track not just quantity but diversity of ideas.
Monitor implementation rate of suggestions from cross-functional random teams. Are the ideas good enough to actually use?
Measure time to solution for complex problems. Do random teams surface answers faster by bringing diverse expertise together immediately?
Knowledge sharing
Track cross-departmental project participation. Are people collaborating outside their silos more than before?
Monitor peer-to-peer training or mentoring exchanges. Random pairing often sparks informal knowledge transfer.
Count contributions to internal knowledge bases or wikis. When people learn from colleagues in different departments, they often document what they learned.
Culture indicators
Employee retention rates often improve when people feel connected across the organization. Track whether retention improves after implementing random team initiatives.
Internal mobility - promotions and lateral transfers - increases when people have visibility and relationships across departments.
Onboarding integration speed for new hires improves when random pairing helps them build networks quickly.
Inclusion survey results should improve. People from underrepresented groups should feel more included when random selection removes bias.
Business outcomes
Project success rates may improve as diverse perspectives surface risks and opportunities earlier.
Customer satisfaction can increase when cross-functional teams design better solutions.
Product and service innovation metrics - new features shipped, improvements implemented, customer problems solved - should show positive trends.
How to measure
Establish baselines before implementing random team practices. You need comparison points.
Measure quarterly rather than weekly. Cultural and process changes take time to manifest in data.
Use control groups if possible. If one department implements random team formation and another doesn't, compare outcomes.
Combine quantitative metrics (retention rates, idea counts) with qualitative feedback (interviews, open-ended survey responses).
Don't expect overnight transformation. Meaningful cultural change takes 6-18 months to become visible in data.
Frequently Asked Questions
Won't random teams be less productive than experienced teams who know how to work together?
Short-term productivity might dip slightly as people adapt to new collaborators and working styles. Long-term gains in innovation and problem-solving outweigh this initial adjustment.
Research consistently shows diverse teams outperform homogeneous teams on complex, non-routine problems. The key phrase is "complex problems." For routine execution requiring established workflows, you're right that practiced teams work faster.
Match team formation to task type. Use random teams for discovery, exploration, and innovation phases where fresh thinking matters most. Use strategic teams for execution requiring specialized skills and efficiency.
Many organizations successfully use a hybrid approach. Random teams for the exploration phase of a project, then strategic teams for delivery. Or keep core teams stable while rotating a portion of team members periodically.
The learning and skill development from random teams compounds over time. After someone's worked with 20 different colleagues across various random team exercises, they've developed adaptability and communication skills that make them better on their regular teams too.
How do I get buy-in from managers who want to pick their own teams?
Lead with research. Share studies showing benefits of cognitive diversity and weak ties. Harvard Business Review and MIT Sloan Management Review publish accessible articles on this topic regularly.
Start with low-stakes pilot programs. Use random teams for lunch rotations, training exercises, or single brainstorming sessions. Demonstrate value before applying to major projects.
Frame random teams as leadership development. Working effectively with unfamiliar people is a critical skill. Managers should want their teams developing this capability.
Emphasize fairness and inclusion benefits. Random selection removes unconscious bias. In organizations focused on equity, this is compelling.
Let managers set parameters while randomizing within constraints. "Create cross-functional teams with at least one person from engineering, marketing, and operations" gives structure while still using random selection within each function.
Track and share metrics. When pilot programs show improved outcomes, resistance decreases.
Position random teams as a tool in the toolkit, not a replacement for all team formation. Managers retain control over when to use which approach based on project needs.
Give managers visibility into the process. Let them see the random team generation happen using tools like Team Splitter. Transparency builds trust.
What if random teams create personality conflicts or poor chemistry?
Set clear expectations and ground rules upfront. Establish norms for respectful collaboration before teams begin work.
Provide conflict resolution resources. Make it easy for people to address issues early rather than letting them fester.
Keep initial random team engagements short. A single meeting or day-long workshop minimizes risk. For longer collaborations, have check-in points to address dynamics early.
Remember that working with different personalities is valuable skill development. Unless conflicts become serious or abusive, navigating interpersonal differences builds professional capability.
Most conflicts stem from unclear roles and goals, not random pairing itself. When everyone knows what they're responsible for and what success looks like, personality differences become manageable.
The incidence of serious chemistry problems is lower than expected. People generally rise to the occasion when expectations are clear.
Having a facilitator or team lead for structured activities helps manage group dynamics. Someone with authority to redirect unproductive behavior prevents most issues.
If serious conflict emerges, address it through normal management channels. Random team formation doesn't eliminate the need for good people management.
How often should we randomize teams?
It depends on your goals and project timelines.
For ongoing learning and culture programs, monthly or quarterly works well. This frequency maintains fresh connections without creating chaos.
For specific initiatives, randomize at project kickoff then keep teams stable through execution. You get diverse input upfront without disrupting delivery.
Training sessions and workshops can randomize for each exercise or module. This maximizes exposure to different working styles during concentrated learning periods.
Hackathons and innovation sprints benefit from randomization at the start of each event (whether that's quarterly, annually, or ad hoc).
Avoid constant reshuffling. Relationships need time to develop. Some stability allows people to move past awkward introductions into productive collaboration.
Don't leave teams completely static for years either. Periodic rotation (every 6-12 months for standing committees, for example) keeps perspectives fresh.
Consider your industry pace and project cycles. Fast-moving tech companies might rotate more frequently than organizations with multi-year project timelines.
A good rule of thumb: randomize when starting new initiatives or at regular intervals for cultural programs. Don't randomize mid-project unless there's a specific reason.
Can this work for remote or hybrid teams?
Absolutely. Random team formation is especially valuable for distributed teams.
Remote workers often get excluded from spontaneous in-person collaborations. Random team assignment ensures remote employees are included fairly regardless of location.
Use the Team Splitter to create virtual breakout groups for video calls. Mix time zones thoughtfully - don't consistently put all the awkward meeting times on one group.
Schedule virtual coffee chats with random pairings. Fifteen-minute video calls can build relationships across distance.
For hybrid teams, intentionally mix in-office and remote workers. Random assignment helps break proximity bias where in-office employees only collaborate with each other.
Many remote-first companies use random pairing as a core culture-building tool. Gitlab, Zapier, and other distributed companies run programs like "donut dates" where random pairs meet virtually for casual conversation.
The key is being intentional about inclusion. Without deliberate structure, remote workers become second-class participants. Random assignment built into regular processes prevents this.
Virtual collaboration tools make random team formation easier in some ways. Everyone's equally "remote" during a video call whether they're in an office or home. This levels the playing field.
What team size is optimal for random team activities?
It depends on the activity type, but research provides general guidance.
For brainstorming and discussion, 4-6 people hits the sweet spot. Everyone can contribute without the chaos of larger groups. There's enough diversity for interesting perspectives without becoming unwieldy.
For project work requiring division of labor, 5-7 allows specialization while maintaining communication ease. Smaller than this and you lack capacity. Larger and coordination costs increase dramatically.
Pairs (2 people) work excellently for mentoring, peer review, or deep discussion. One-on-one removes group dynamics allowing focused interaction.
Larger groups (8-10) can work for workshops or training sessions if there's strong facilitation. Without good facilitation, groups this large see participation drop and social loafing increase.
Avoid groups larger than 10 for collaboration activities. Research shows engagement drops sharply once teams exceed 10 members.
For team challenges or competitions, 4-5 provides enough people for diverse skills without becoming too large to coordinate quickly.
The Team Splitter lets you specify team size or number of teams. Experiment with what works for your specific activities and organizational culture.
As a starting point, use teams of 5 for most applications. Adjust based on results and feedback.
Conclusion
Random team formation isn't about destroying organizational structure or creating chaos. It's a strategic tool for innovation, inclusion, and knowledge sharing when used in the right contexts.
The benefits are clear and backed by research: fresh perspectives that challenge assumptions, knowledge transfer across departmental silos, equity and inclusion in opportunities, skill development through varied experiences, and stronger organizational culture.
Start small. Try random teams for your next brainstorming session. Use them for team building activities. Implement lunch rotations or training exercise pairings.
Measure impact. Track employee feedback, innovation outputs, and culture indicators. Iterate based on what works for your specific organization.
Use the Team Splitter for transparent, fair team creation that removes bias and demonstrates your commitment to equity. The tool is free, requires no signup, and works for organizations of any size.
The innovation and collaboration you're seeking might not require hiring expensive consultants or implementing complex new processes. Sometimes it just requires introducing your existing talented people to each other in new combinations.