SmartReach helps sales teams run outbound campaigns at scale, but campaign creation remained heavily manual. Users were spending more time structuring sequences than selling.
The challenge was to accelerate campaign creation with AI assistance without making users feel like they'd lost control of the outreach messaging.
LOCATION
Hyderabad
TIMELINE
4 months
TOOLS
Figma, Inspectlet
ISSUE
Users struggled with turning their outbound strategy into structured campaigns. Starting from a blank workflow created hesitation and slowed campaign launches.
DESIGN
I redesigned the campaign creation flow around guided AI-assisted workflows that reduced setup effort while keeping user in control of targeting, messaging & sequencing decisions.
RESULT
Customer drop-off
Campaign Creation Vol.
Click-through rate
NEEDS
Fast campaign setup without sacrificing personalization quality.
Positive replies to prove competence
PAINS
Spent excessive time refining opening lines
Fear of making mistakes
More time spent on learning than selling
NEEDS
PAINS
UX CHALLENGE
Early research showed users wanted help with campaign structure and messaging, but resisted workflows that automated too much too quickly. The challenge was making AI feel like assistance, not a takeover.
Balancing Automation & User Control
Segmenting by comfort level
Users had very different expectations around AI involvement. Some wanted rapid automation, while others preferred full manual control. Letting them choose their path upfront reduced hesitation and made the workflow feel predictable from the start.
Reducing Cognitive Load with Conversational Inputs
Replacing multi-step forms with guided sentence-building on a single screen made it easier for users to define targeting, tone, and messaging without losing their train of thought.
Tackling Content Friction
Once the campaign structure was set, users were far more open to accept AI help at the step level. Keeping the outreach strategy in their hands made the AI feel like a tool, not a replacement.
Breaking Down Complexity
Generating hyper-personalized outbound content required users to provide structured context the AI could reliably act on. The wizard transformed a historically unstructured task into a guided workflow with progressively refined inputs.
STEPWISE FLOW
I broke the complex creation process into a 3-step progress bar. This progressive disclosure kept users focused on one task at a time.
GUIDED INPUTS
Open-ended prompts created inconsistent outputs during testing. Replacing blank inputs with constrained prompts improved the output quality.
BUILT-IN SUPPORT
I used strategic helper text and placeholder examples to eliminate guesswork, actively teaching users what effective B2B messaging looks like while they build it.
Refining for User Behaviour
Post-launch analytics & usability testing revealed 2 critical issues that needed immediate refinement to balance user needs with business constraints.
Iteration 1: Balancing AI Access with Business Viability
INSIGHT
Free-tier users kept regenerating outputs to test tone and personalization variations, driving infrastructure costs without moving campaigns forward.
UX DECISION
Instead of restricting campaign creation access, AI-assisted step generation was positioned as a premium feature after users had already experienced its value.
Iteration 2: Saving Manual Users from Drop-off
INSIGHT
Manual-path users still hit a wall at content drafting because the structural guidance was removed too early.
UX DECISION
Contextual AI assistance was integrated into the manual flow to support users only when they got stuck, instead of forcing upfront automation.
Impact
Within 6 weeks of launch, first-time campaign completion rose 40% and setup abandonment dropped 25%.
Campaign Setup Abandonment
Post-Launch Learnings
Visible control builds AI trust
Users trusted AI-generated content more when they could shape the strategy step by step, rather than receiving opaque outputs upfront.
Workflow hesitation outweighs UI complexity
Campaign setup uncertainty drove more drop-off than any visual complexity issue.
Optional automation improves AI adoption
Hybrid workflows let users gradually integrate AI into existing outbound processes instead of forcing immediate change.
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