Common Questions
Q: Why does Guru have a $250/month minimum even for small teams?
A: Guru's per-seat pricing model requires a minimum of 10 seats at $25/seat/month, creating a hard $250/month floor regardless of how many people you actually have. This is a deliberate enterprise positioning decision — Guru is designed for larger organizations, and the minimum pricing reflects that. Small teams of 2–5 people will pay for seats they don't use until they grow into the platform.
Q: Is Tango's free plan actually useful, or is it too limited?
A: Tango's free plan is genuinely useful for small teams just starting out — 15 workflows and 10 users is enough to evaluate whether screenshot-based documentation fits your workflow. However, the cap of 15 workflows is reached quickly by active teams, and the lack of version history, desktop capture, and analytics means most growing teams will need to upgrade within weeks of active use.
Q: What happens to my Tango documentation if I don't upgrade to Enterprise — do I lose version history after 14 days?
A: Yes. On Tango's Pro plan, version history is limited to 14 days. After that window, older versions of your workflows are no longer accessible or recoverable. This is a significant operational risk for compliance-sensitive teams or organizations that need to audit changes to their process documentation over time. The 365-day version history is only available on Enterprise.
Q: Does Guru charge extra for AI features like Knowledge Agents?
A: Guru uses a credit-based model for AI actions, and Knowledge Agents — the platform's most powerful AI capability covering Chat, Research, and MCP Server modes — are only available on the Enterprise plan. Starter and Builder plans include basic AI suggestions, but heavy AI users on lower tiers will encounter credit limits that may require an upgrade. This means the AI features most prominently marketed by Guru are effectively behind a custom Enterprise price wall.
Q: Is there a better alternative to both Guru and Tango?
A: Yes — Docsie addresses the core limitations both tools share. Neither Guru nor Tango can convert existing training videos into structured documentation, support multi-tenant client portals with custom domains, or offer transparent workspace-based pricing without per-seat inflation. Docsie's Premium plan starts at $199/month for 15 users and includes video ingestion, 100+ language translation, multi-tenant portals, built-in LMS with certifications, and enterprise-grade version control. For teams that need to deliver knowledge to multiple clients or convert existing video libraries, Docsie is the more complete platform.
Q: Can Guru and Tango work together, or do they serve the same use case?
A: They serve different use cases and could theoretically be used together — Tango for capturing new browser-based workflows as step guides, and Guru for managing and verifying that knowledge internally. However, this creates double the per-seat and per-user costs, two separate admin workflows, and no integration between the two systems. Most teams are better served by a single platform that handles both capture and knowledge management at a predictable cost.
Deep Dive
An in-depth analysis of three critical pricing dimensions — value for money, scalability costs, and hidden costs — to help enterprise buyers make an informed decision.
Guru's value depends heavily on team size. At the 10-seat minimum, you're paying $250/month for basic AI and knowledge management — but Knowledge Agents, the platform's most compelling AI feature, are Enterprise-only. Tango's Pro plan at $23–24/user/month includes unlimited workflows and desktop capture, offering reasonable value for small teams doing browser-based documentation. However, Tango's free plan caps at 15 workflows and 10 users, limiting its utility quickly. Neither tool delivers strong value for teams that need AI-powered knowledge at scale without jumping to Enterprise pricing.
Guru's per-seat model with a 10-seat minimum creates a hard cost floor that rises sharply as teams grow. A 50-person team at Starter pricing alone represents $1,250/month before any AI upgrades — and heavy AI users on lower tiers face credit limits that push toward Enterprise. Tango's per-user model compounds similarly: a 50-user team on Pro costs $1,150–1,200/month, and features like SSO, Nuggets walkthroughs, and PII controls require Enterprise. Both tools penalize growth by gating their most valuable features behind opaque Enterprise tiers with custom pricing.
Guru's credit-based AI model is the biggest hidden cost — teams that rely heavily on Knowledge Agents may find themselves throttled on Starter or Builder tiers, requiring an Enterprise upgrade. Tango's 14-day version history on Pro is a significant limitation; losing change history is a real operational risk for compliance-sensitive teams. Neither tool offers custom domains or multi-tenant portals at any price point, meaning teams needing external client delivery will face additional infrastructure costs or tool purchases. Both require Enterprise pricing for SSO, a feature most modern organizations consider standard.
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