Feb 27, 2026
Reduce Onboarding Friction: 90 Day CX Transformation
Christophe Barre
co-founder of Tandem
A 90 day transformation roadmap showing CX leaders how to deflect 30 to 50 percent of support tickets with proactive AI assistance.
Updated February 27, 2026
TL;DR: Forcing IT admins and end users through the same onboarding flow tanks your self-serve conversion rate. Admins need to configure the workspace fast. End users need to find value in a product that actually works. When you merge those journeys, admins abandon mid-setup and end users land in an empty product with nothing to do. Build an execution-focused track for admins and a guidance-focused track for users. A contextual AI Agent that detects role and screen state, then adapts accordingly, is the fastest lever for closing the gap between your self-serve conversion (3-12%) and the 25-40% you see from sales-assisted deals.
Sales-assisted B2B onboarding converts at 25-40% of qualified prospects. Self-serve products convert 3-12% of trial users, with many landing closer to 3-5%. The difference is not the product. It's the presence of a human who separates the configuration work from the learning work. Your AE sets up the integration, imports the contacts, and invites the team. Then they hand the end user a working product and walk them through one workflow.
Without that human, admins hit multi-field configuration requiring technical knowledge they don't have ready, abandon before the workspace is usable, and end users log in to an empty product and churn within 72 hours. The fix is not a better tooltip. It's a fundamentally different onboarding architecture, with two separate paths designed for two opposing goals.
The activation paradox: why single-track onboarding fails for B2B SaaS
B2B SaaS onboarding fails because it tries to serve two incompatible jobs-to-be-done. The first real onboarding experience belongs to the admin, the IT lead or technical decision-maker whose job is to get the product ready for everyone else. Their questions are about trust, access control, and integration, not about features or workflows.
End users have the opposite need. They want to complete work. They join after the admin (supposedly) finished setup and expect a functional product that helps them do their job today.
When you force both personas through the same linear product tour, completion rates drop significantly. Industry benchmarks show even lengthy seven-step tours retain around 16% of users, with shorter tours completing at 45–72%, suggesting the real problem isn't walkthroughs themselves, but the lack of persona-specific paths. Admins skip the tour to find SSO settings. End users click through it and land in an unconfigured workspace with nothing to show. The empty state problem has measurable consequences: poor onboarding, including blank unconfigured states, causes 75% of users to abandon a product in the first week if they struggle to use it.
The table below shows why a single path cannot serve both personas:
Dimension | IT Admin | End User |
|---|---|---|
Goal | Configure the environment | Complete a workflow |
Timeframe | Day 1-3 (before others join) | Ongoing, from first login |
Friction point | Multi-field configuration requiring technical knowledge | Incomplete or empty workspace state |
Success metric | Setup completion rate | Day 7 retention and workflow completion |
Tandem mode | Execute | Guide and Explain |
Path 1: The admin journey (optimizing for configuration velocity)
Prerequisites for this path:
Admin role identified at signup (via first-user auto-assignment, signup survey, or SSO attribute mapping)
Workspace in unconfigured state
Admin has access to identity provider or CRM credentials
The admin's job is implementation, not learning. They need to move fast through a checklist of technical tasks before their team joins. The top friction points are predictable: SSO and SCIM configuration, CRM data integration, and user provisioning. These are not tasks admins want to be educated about. They want them completed.
Step-by-step admin onboarding path:
Role detection at signup: Assign the admin role automatically to the first user in an organization. This triggers the admin-specific experience immediately. SAML attribute mapping via SSO can automate this for teams authenticating through an identity provider.
Setup checklist over product tour: Replace the welcome tour with a configuration checklist covering: connect identity provider, configure SSO, set up SCIM provisioning, connect primary integration (CRM or Slack), import user list, and set permissions by role.
Execution support, not tooltips: Admins don't need to be shown where the "Invite Users" button is, they need the task done. Tandem's AI Agent exemplifies this by completing tasks automatically rather than just providing instructions, handling actions like enabling features, configuring settings, and connecting integrations on users' behalf.
Progress persistence: Save setup state across sessions. Admins frequently start configuration, get pulled into a meeting, and return later. A progress indicator showing "3 of 6 setup tasks complete" keeps momentum across those gaps.
Common pitfalls to avoid:
Tour before checklist: Admins who see a "Welcome to the Dashboard" walkthrough when they're looking for SSO settings will ignore everything that follows.
Engineering dependencies: Configuration requiring a ticket to your team adds days of delay and kills conversion at the most critical moment.
Path 2: The end-user journey (optimizing for workflow adoption)
End users are not configuring anything. They are trying to understand why this product should be part of their daily workflow, and they need to find that answer fast. The average SaaS activation rate sits at 37.5% in 2025, meaning roughly six in ten signups never reach first value.
The users who do reach it are significantly more likely to stay. If you can get 7% of your original signup cohort to return on Day 7, you've crossed into the top quartile for activation performance. That benchmark rewards products that get users to a workflow completion in the first session.
Step-by-step end-user activation path:
Role and goal detection: Ask users their role and primary job-to-be-done at signup. HubSpot personalizes onboarding by assessing user roles, responsibilities, and goals to build customized onboarding plans. A salesperson and a sales manager inside the same product get different prioritized actions and content. The principle holds: different roles need fundamentally different first experiences.
Contextual triggers over linear tours: Do not show a tour on login. Show help when users hover over a feature they haven't used, when they open a workflow for the first time, or when they appear stuck. This is the principle behind AI-driven segmentation for personalized onboarding: guidance appears at the moment of need, not at the moment of first login.
Guide mode for workflow navigation: When a user at Aircall needs to set up their calling environment, they don't need a tooltip pointing to a button. They need a step-by-step guide that walks them through hardware testing, inbound routing configuration, and the first call log. Tandem's AI Agent in Guide mode adapts to what the user sees on screen rather than following a fixed tour path.
Explain mode for conceptual questions: Some users need understanding, not task completion. A new user asking "what does this metric mean?" needs a contextual answer grounded in their current screen state. As the onboarding metrics guide from Tandem covers, users most likely to convert are those who understand the product's value model, not just where the buttons are.
Common pitfalls to avoid:
Showing admin configuration screens to end users before setup is complete creates confusion and false failure states.
Giving every user the same first workflow: A salesperson who gets a manager-focused dashboard on first login disengages within minutes.
Triggering help too early: Users vibe-using a new product in the first 60 seconds are exploring. Wait for a signal that they're stuck before surfacing guidance.
Bridging the gap: handling the empty state problem
A critical challenge in B2B SaaS onboarding is the transition window: the admin has started setup but hasn't finished, and end users are already joining. When users arrive to a half-configured product, first impressions suffer and activation stalls. Automated onboarding workflows can reduce churn by up to 25%, and onboarding checklists push activation rates to 40%+. Roughly 60% above the industry norm of 25-30%. The strategies that work:
Demo data mode: Populate the workspace with clearly labeled sample data so users can explore the product's value without waiting for admin configuration. Notion uses this approach. Providing templates with demo data that help users visualize value on day one. Monday.com takes a different route, offering 200+ opt-in templates and AI-generated example items rather than pre-populated workspaces.
Personal setup tasks during wait states: Rather than blocking users or showing an empty screen, give them productive personal tasks. "While your admin finishes team setup, connect your calendar and set your notification preferences." Users complete something useful and feel progress.
Admin progress visibility for users: A simple "Your workspace is 60% configured" message sets expectations and reduces churn from users who mistake an unconfigured state for a broken product.
How Tandem adapts to role-based context (explain, guide, execute)
Tandem's AI Agent detects what users see and what they need, then responds in the right mode:
Execute (for admins): An admin on the user provisioning screen asking "Can you invite the users from this CSV?" gets the task completed automatically. Product teams configure these execution paths without engineering dependencies. As the no-code configuration guide shows, technical setup takes under an hour (JavaScript snippet), and role-specific experiences go live through a no-code interface within days.
Guide (for end users completing workflows): A user on the CRM integration screen gets walked through each step with context specific to what they see, rather than a generic tooltip sequence. The AI onboarding vs. product tours comparison shows why adaptive guidance consistently outperforms static tours for workflow adoption.
Explain (for end users with conceptual questions): A user asking "what is this field used for?" gets a contextual explanation grounded in their screen state, not a help article link. As detailed in building an AI onboarding flow, explanation-first interactions are often what convert confused users into activated ones.
Unlike rigid, linear tours that treat every user identically regardless of role or screen state, this approach reflects what your best AE does in a 30-minute call: determine what the person in front of them needs, then deliver it. As the comparison of Tandem vs. traditional DAPs covers, the gap between static and contextual assistance closes fastest for the users who otherwise would never have activated. Like all digital adoption platforms, ongoing content management is part of the process. Product teams write messages, refine targeting, and update experiences as the product evolves. What changes with Tandem is that teams focus on content quality rather than also managing technical updates when the UI shifts.
Measuring success: distinct metrics for setup vs. activation
Admin onboarding and end-user activation require different scoreboards. Mixing them hides which part of your funnel is actually broken.
Admin metrics to track:
Setup completion rate: accounts completing all critical setup steps divided by accounts that started setup
Time-to-integration: hours from admin signup to first connected integration
Invite acceptance rate: percentage of invited users who activate within 7 days
End-user metrics to track:
Activation rate: activated users divided by total signups, benchmarked against the 2025 average of 37.5%
Workflow completion rate for the primary use case
Day 7 retention: target 7%+ of cohort returning, per Amplitude's retention benchmark
The ROI connection:
The math on separating admin and user paths compounds quickly. Research shows a 25% improvement in user activation produces a 34% rise in MRR over 12 months, and for every 1% increase in revenue retention, a SaaS company's value increases 12% over five years. Complete admin setups create functional workspaces, functional workspaces produce activated users, and activated users convert and retain. For activation strategies broken down by SaaS category, the pattern holds across verticals.
If your product has 10,000 annual signups, 35% baseline activation, and $800 ACV, lifting activation to 42% (a 20% relative improvement consistent with what Aircall achieved using contextual AI assistance) generates approximately 700 incremental activations worth $560,000 in new ARR annually. That outcome starts with an admin who finished setup on Day 1 instead of abandoning on Day 3.
Your product is not truly self-serve if admins have to open documentation to configure it. Split the paths, serve both intents, and measure them separately. Schedule a 20-minute demo to see Execute mode for your admin path and Guide mode for your user activation flow running in parallel.
Frequently asked questions
How do you identify whether a user is an admin vs. an end user?
The three most reliable methods are: first-user auto-assignment (the first account creator in an organization receives the admin role automatically), signup survey (four multiple-choice questions at registration covering role and job-to-be-done), and SAML attribute mapping via SSO (role assigned based on identity provider group membership, enabling automatic admin detection at first login). Most identity providers support role assignment through SAML attributes without custom development.
Should you block end users until admin setup is complete?
A hard block is rarely the right answer. The first 3 days post-signup are critical, and users who don't activate in that window are 90% more likely to churn. Use pre-boarding personal setup tasks, clearly labeled demo data, and an admin progress indicator instead. Give end users something productive to do while the workspace is being configured rather than forcing them to wait.
How long does technical setup typically take with Tandem?
The JavaScript snippet installs in under an hour. Product teams then configure role-specific experiences, execution paths for admins, and guidance flows for end users through a no-code interface. Most teams deploy their first experiences within days. Ongoing content management (writing messages, refining targeting as the product evolves) is part of the process, as it is for all digital adoption platforms.
Key terminology
Admin onboarding: The process of guiding a workspace owner or IT lead through technical configuration, including SSO, user provisioning, integrations, and permissions, before the product is ready for general use.
End-user activation: The moment a standard user completes a core workflow that delivers first value. Activation rate is activated users divided by total signups, with the 2025 SaaS average at 37.5%.
Time-to-setup: The duration from admin signup until the workspace is minimally configured for end-user access. Distinct from time-to-first-value (TTV), which measures when an end user experiences the product's value, not when technical setup is complete.
Contextual intelligence: The ability of an AI Agent to detect user role, screen state, and intent, then serve the appropriate assistance mode (Explain, Guide, or Execute) based on what the user needs at that moment.
Explain/Guide/Execute framework: The three assistance modes Tandem uses to serve different user needs. Explain delivers conceptual answers for users who need to understand a feature. Guide provides step-by-step workflow navigation. Execute completes tasks automatically for admins who need configuration done, not explained.
Empty state: The state of a product workspace before admin configuration is complete. Empty states without demo data or pre-boarding tasks are a primary driver of first-week churn in B2B SaaS.
PLG (Product-Led Growth): A go-to-market strategy where the product drives acquisition, activation, and expansion without a dedicated sales motion for each user. PLG companies average 34.6% activation, below the 41.6% seen in sales-led models, highlighting the gap that role-based onboarding is designed to close.
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