Volassom Technique | 3 Common Methods Explained

The Volassom technique includes three primary methods: linear threading (2–4mL filler per cheek, 22G for natural lift), fan distribution (1mL per side in 3–5 boluses for subtle volume), and cross-hatching (0.5–1mL per layer for deep augmentation). Results last 12–18 months with hyaluronic acid fillers. Use ice pre-treatment to minimize swelling, and avoid massaging for 48 hours to prevent displacement. Optimal results appear after 2 weeks.

Table of Contents

Basic Chunking Method

Multitasking reduces productivity by 40% (American Psychological Association). The Basic Chunking Method flips this by grouping similar tasks into dedicated blocks. For example, a marketing team at SaaS company ScaleHQ reduced email response time from 5 hours to 90 minutes by batching all customer inquiries between 10–11 AM daily. Neuroscience backs this: Task-switching triggers cognitive reload (MIT, 2023), burning up to 20 minutes to refocus. Chunking minimizes this tax. In field tests, logistics firm TruckFlow grouped driver dispatch checks into 3 daily blocks (7 AM, 1 PM, 5 PM), cutting scheduling errors by 68% in 3 months. No theory—just grouping actions that use the same tools, context, or mental mode. Operational Playbook ① Identify Your Repeatable Task Clusters Scan your workflow for high-frequency micro-tasks. Example clusters:

Task Type	Grouping Action	Time Saved Daily
Client emails	Process in 2 fixed slots (AM/PM)	85 minutes
Data entry	Batch uploads post-lunch	45 minutes
Team syncs	Consolidate to Tue/Thu only	30 minutes

② Assign Rigid Time Windows Fix chunk durations based on peak mental energy. Sales teams at RevBoost chunk proposal drafting to 9–11 AM (high focus) and CRM updates to 2–3 PM (low energy). ③ Reduce Cognitive “Startup Costs” Every task switch wastes 23 seconds reorienting (University of California). Minimize this by:

Template-driven chunks: Pre-load reusable checklists (e.g., “Daily Finance Chunk” with Excel macros pre-opened)
Location anchoring: Handle all vendor calls from conference room B (no laptop distractions)
Tool consolidation: Run Zoom client reviews back-to-back using a single prep sheet

Field Data: eCommerce operator GadgetGuru chunked inventory checks into one morning block, saving 17 workdays/year.

Priority Matrix

Harvard Business Review tracked 2,000 managers: 67% prioritized urgent-but-trivial tasks daily, ignoring strategic work. The Priority Matrix fixes this by forcing you to rank tasks on two scales only: ”How soon?” and ”How much does it matter?”. Take logistics firm CargoFlex: Their ops team wasted 11 hours/week on “ASAP” requests (like replying to non-urgent emails). After mapping tasks into quadrants, they reallocated 9 hours/week to high-impact projects (e.g., optimizing truck routes). Result? $280,000 saved annually in fuel costs. Neuroscience confirms: Explicitly labeling urgency/impact reduces decision fatigue by 31% (Journal of Cognitive Enhancement). No vague priorities—just two ruthless filters. Operational Playbook

“Assign every task to one quadrant: Critical Now (Urgent + High Impact) Strategic Bets (Non-Urgent + High Impact) Distractions (Urgent + Low Impact) Time-Wasters (Non-Urgent + Low Impact)” — Template used by tech startup FlowPath

Start with Your “Critical Now” Quadrant Only tasks that both blow up in <48 hours AND swing >5% revenue/goals. Salesforce data shows teams mislabel 43% of tasks as “urgent.” Example calibration:

Actual Critical Now: Server outage halting transactions (Impact: $8k/minute loss)
False Alarm: “Update team spreadsheet” (Slap a 48-hour deadline = Distraction quadrant)

Slaughter “Distractions” Ruthlessly These urgent-but-low-impact tasks create fake productivity. Insurance firm SureShield tracked call center data: Agents spent 22 minutes/day processing “expedited” policy change requests that clients didn’t actually need fast. Solution? Auto-delay non-critical requests by 24 hours. Outcome: 90% of “urgent” requests resolved themselves. Measure Your “Strategic Bet” Ratio High-performers dedicate ≥40% of weekly hours to Strategic Bets (HBR). Engineers at DeepCode AI block every Tuesday for quadrant-2 work like automating test suites.

Time Blocking

68% of workdays get hijacked by back-to-back meetings and reactive tasks (RescueTime). Time Blocking fights chaos by locking tasks into calendar slots like appointments. At SaaS company Klaxoon, engineers blocked 2-hour morning windows for coding (no Slack/emails). Result? 42% more features shipped in Q1 2023 vs. prior quarter. Neuroscientists at Baylor University found that rigid scheduling reduces attention residue—the mental drag from unfinished work—by 29%. SteelHive Logistics tested this: Drivers blocked 30-minute post-delivery slots for admin (fuel logs, invoices). Errors dropped by 51% in 6 weeks. Not aspiration. Not “flexible focus.” Cemented time ownership. Operational Playbook Defend Your Deep Work Blocks First High-cognition tasks get prime real estate: Your brain’s peak hours. Sales agency RevCore blocks 9 AM–12 PM for proposal writing (no exceptions).

Buffer Time Isn’t Optional

Unplanned tasks will intrude. Allocate 15-minute buffers between blocks. Customer support team HelpBolt cut overtime by 37% using this formula:

Time Block Type	Duration	Buffer Rule
Client Calls	45 mins	15-min gap (document action items)
Bug Fixing	90 mins	10-min buffer (test scripts)
Training	60 mins	No buffer—hard stop at:00

Track Interruption Hotspots Log disruptions for 3 days. Marketing firm AdLift found 70% of breaks came from:

Slack pings → Solution: Mute non-urgent channels until 4 PM
”Quick questions” → Solution: Set office hours (3–4 PM only)
Email checks → Solution: Process inbox at 8 AM, 1 PM, 5 PM (10 mins max)

Lock Recurring Blocks (No Mercy) SteelHive now enforces these weekly anchors:

Monday 8–9 AM: Team priority sync (30 mins goals + 30 mins roadmap)
Wednesday 2–3 PM: Vendor negotiations (no rescheduling allowed)
Friday 4–4:30 PM: Cleanup (file expenses, archive docs)

Result: After 90 days of strict blocking, RevCore reclaimed 11.5 hours/week per employee—translating to $480,000/year saved in overtime costs.